Training Results Master Summary

Executive Snapshot

  • Generated At: 2026-07-29T15:40:24

  • Program State: active.

  • Current Completed Wave: polished-dataset RCIM, early-wave, and full-wave

  • Current Focus: Wave 5.2R physics-guided forward reassessment execution,

  • Active Campaign Status: completed

  • Active Campaign Name: wave52r_stage6_spectral_sobolev_guidance_2026_07_29

  • Current Program Winner: te_periodic_gru_sequence_bw | Family periodic_gru_sequence_bw | Test MAE 0.001084

Main Takeaways

  • Strongest current neural family: periodic_gru_sequence_bw

  • Current plain MLP anchor: te_feedforward_trial

  • Active family-improvement branch count: 0

  • Implemented and benchmarked family count: 254

Current Project Status

Implemented And Benchmarked Families

  • Multi-scope waves must keep global, Fw, and Bw reporting surfaces separated in this canonical summary.

Global Models

Family

Current Role

Best Run

Model Type

Test MAE [deg]

Params

Last Update

periodic_gru_sequence_global

Implemented Benchmark

te_periodic_gru_sequence_global

periodic_gru_sequence

0.001159

157,569

2026-07-09 00:29:12

periodic_lstm_sequence_global

Implemented Benchmark

te_periodic_lstm_sequence_global

periodic_lstm_sequence

0.001187

210,049

2026-07-09 05:06:07

periodic_mlp_harmonic_global

Implemented Benchmark

te_periodic_mlp_harmonic_global

periodic_mlp

0.001264

28,417

2026-07-08 03:17:38

periodic_gru_sequence

Implemented Benchmark

te_periodic_gru_sequence_remote_global

periodic_gru_sequence

0.001279

157,569

2026-06-22 14:06:48

wave4_3_mixture_density_k3_global

Implemented Benchmark

te_wave4_3_mixture_density_k3_global

curve_aware_harmonic_residual_offset_probe

0.001544

86,976

2026-07-15 14:38:59

tree_global

Implemented Benchmark

te_tree_global__polished_setpoints

hist_gradient_boosting

0.001699

5

2026-07-07 10:07:53

residual_harmonic_mlp_global

Implemented Benchmark

te_residual_harmonic_mlp_global

residual_harmonic_mlp

0.001710

26,138

2026-07-07 13:50:19

feedforward_global

Implemented Benchmark

te_feedforward_global

feedforward

0.001734

109,697

2026-07-07 18:43:03

periodic_mlp_global

Implemented Benchmark

te_periodic_mlp_global

periodic_mlp

0.001741

27,137

2026-07-07 21:58:17

wave4_3_mixture_density_k2_global

Implemented Benchmark

te_wave4_3_mixture_density_k2_global

curve_aware_harmonic_residual_offset_probe

0.001743

86,400

2026-07-15 05:01:50

tree

Implemented Benchmark

te_hist_gbr_tabular_global

hist_gradient_boosting

0.001753

4

2026-06-22 16:58:47

wave4_2_quantile_p10_p50_p90_global

Implemented Benchmark

te_wave4_2_quantile_p10_p50_p90_global

curve_aware_harmonic_residual_offset_probe

0.001878

85,824

2026-07-14 16:15:03

wave4_1_mae_robust_loss_global

Implemented Benchmark

te_wave4_1_mae_robust_loss_global

curve_aware_harmonic_residual_offset_probe

0.001890

85,440

2026-07-12 18:19:09

wave4_1_log_cosh_robust_loss_global

Implemented Benchmark

te_wave4_1_log_cosh_robust_loss_global

curve_aware_harmonic_residual_offset_probe

0.001913

85,440

2026-07-01 06:59:33

wave3_2_harmonic_residual_offset_global

Implemented Benchmark

te_wave3_2_harmonic_residual_offset_global

harmonic_residual_offset_probe

0.001914

85,440

2026-07-11 05:29:51

wave3_3_raw_centered_shape_curve_aware_global

Implemented Benchmark

te_wave3_3_raw_centered_shape_curve_aware_global

curve_aware_harmonic_residual_offset_probe

0.001954

85,440

2026-07-11 20:11:00

wave3_3_curve_aware_pointwise_control_global

Implemented Benchmark

te_wave3_3_curve_aware_pointwise_control_global

curve_aware_harmonic_residual_offset_probe

0.001971

85,440

2026-07-11 13:46:39

periodic_temporal_convolution_global

Implemented Benchmark

te_periodic_temporal_convolution_global__polished_actual_values

periodic_temporal_convolution

0.001999

158,529

2026-07-08 21:06:17

wave3_3_raw_offset_curve_aware_global

Implemented Benchmark

te_wave3_3_raw_offset_curve_aware_global__polished_actual_values

curve_aware_harmonic_residual_offset_probe

0.002001

85,747

2026-07-12 02:24:38

wave4_2_gaussian_nll_global

Implemented Benchmark

te_wave4_2_gaussian_nll_global

curve_aware_harmonic_residual_offset_probe

0.002001

85,632

2026-07-14 20:42:59

track2g_curve_aware_harmonic_residual_offset_full_curve_composite_global

Implemented Benchmark

te_track2g_curve_aware_full_curve_composite_global

curve_aware_harmonic_residual_offset_probe

0.002008

85,440

2026-06-22 15:16:05

wave4_1_smooth_l1_robust_loss_global

Implemented Benchmark

te_wave4_1_smooth_l1_robust_loss_global

curve_aware_harmonic_residual_offset_probe

0.002017

85,440

2026-07-13 00:54:21

wave3_3_full_curve_composite_global

Implemented Benchmark

te_wave3_3_full_curve_composite_global

curve_aware_harmonic_residual_offset_probe

0.002023

85,440

2026-07-12 12:13:42

phase3_pinn_c0_learned_mean_control_global

Implemented Benchmark

te_phase3_pinn_c0_learned_mean_control_global__polished_setpoints

quasi_static_compliance_pinn

0.002050

7,212

2026-07-26 18:14:00

residual_harmonic_lstm_sequence_sparse_rcim_global

Implemented Benchmark

te_residual_harmonic_lstm_sequence_sparse_rcim_global

residual_harmonic_lstm_sequence

0.002062

200,852

2026-07-09 21:46:24

residual_harmonic_gru_sequence_sparse_rcim_global

Implemented Benchmark

te_residual_harmonic_gru_sequence_sparse_rcim_global__polished_actual_values

residual_harmonic_gru_sequence

0.002062

151,060

2026-07-09 08:19:20

harmonic_regression_global

Implemented Benchmark

te_harmonic_regression_global__polished_actual_values

harmonic_regression

0.002071

150

2026-07-08 00:15:14

residual_harmonic_gru_sequence_dense240_global

Implemented Benchmark

te_residual_harmonic_gru_sequence_dense240_global

residual_harmonic_gru_sequence

0.002076

151,138

2026-07-09 11:57:58

residual_harmonic_gru_sequence_dense360_global

Implemented Benchmark

te_residual_harmonic_gru_sequence_dense360_global__polished_actual_values

residual_harmonic_gru_sequence

0.002088

151,762

2026-07-09 17:18:37

phase3_pinn_c5_shared_stiffness_global

Implemented Benchmark

te_phase3_pinn_c5_shared_stiffness_global__polished_setpoints

quasi_static_compliance_pinn

0.002103

5,611

2026-07-26 19:23:35

residual_harmonic_gru_sequence_sparse_rcim

Implemented Benchmark

te_residual_harmonic_gru_sequence_remote_global_sparse_rcim

residual_harmonic_gru_sequence

0.002112

150,676

2026-06-22 14:31:08

wave5_1_harmonic_prior_smooth_l1_structured_global

Implemented Benchmark

te_wave5_1_harmonic_prior_smooth_l1_structured_global

wave3_harmonic_prior_residual

0.002119

7,168

2026-07-16 06:39:53

wave5_1_harmonic_prior_pointwise_control_global

Implemented Benchmark

te_wave5_1_harmonic_prior_pointwise_control_global

wave3_harmonic_prior_residual

0.002159

7,168

2026-07-16 02:44:33

residual_harmonic_lstm_sequence_dense240_global

Implemented Benchmark

te_residual_harmonic_lstm_sequence_dense240_global

residual_harmonic_lstm_sequence

0.002161

201,314

2026-07-10 02:31:07

wave3_harmonic_prior_residual_smooth_l1_structured_global

Implemented Benchmark

te_wave3_harmonic_prior_residual_smooth_l1_structured_global

wave3_harmonic_prior_residual

0.002168

7,168

2026-06-22 15:37:36

wave52b_offset_harmonic_guided_offset_centered_shape_harmonic_global

Implemented Benchmark

te_wave52b_offset_harmonic_guided_offset_centered_shape_harmonic_global

wave52b_offset_harmonic_guided

0.002215

22,593

2026-07-02 01:24:47

residual_harmonic_lstm_sequence_dense360_global

Implemented Benchmark

te_residual_harmonic_lstm_sequence_dense360_global

residual_harmonic_lstm_sequence

0.002223

201,554

2026-07-10 06:59:39

gru_sequence_global

Implemented Benchmark

te_gru_sequence_global

gru_sequence

0.002229

150,657

2026-07-08 13:44:26

lstm_sequence_global

Implemented Benchmark

te_lstm_sequence_global

lstm_sequence

0.002258

200,833

2026-07-08 17:20:19

wave3_1_sequential_residual_offset_probe_global

Implemented Benchmark

te_wave3_1_sequential_residual_offset_probe_global

sequential_residual_offset_probe

0.002261

92,418

2026-07-10 11:09:33

wave4_4_gru_latent_offset_residual_global

Implemented Benchmark

te_wave4_4_gru_latent_offset_residual_global__polished_actual_values

latent_state_hysteresis_probe

0.002271

125,475

2026-07-15 18:51:23

wave3_2_clean_sequential_residual_offset_global

Implemented Benchmark

te_wave3_2_clean_sequential_residual_offset_global

sequential_residual_offset_probe

0.002276

92,418

2026-07-10 22:06:08

wave4_4_causal_tcn_latent_offset_residual_global

Implemented Benchmark

te_wave4_4_causal_tcn_latent_offset_residual_global

latent_state_hysteresis_probe

0.002315

97,155

2026-07-15 22:40:16

temporal_convolution_global

Implemented Benchmark

te_temporal_convolution_global__polished_actual_values

temporal_convolution

0.002327

147,009

2026-07-08 10:20:02

track2h_latent_state_hysteresis_gru_offset_residual_global

Implemented Benchmark

te_track2h_l_gru_offset_residual_global

latent_state_hysteresis_probe

0.002339

124,899

2026-06-22 16:00:39

wave52b_offset_harmonic_guided_pointwise_control_global

Implemented Benchmark

te_wave52b_offset_harmonic_guided_pointwise_control_global

wave52b_offset_harmonic_guided

0.002461

22,593

2026-07-01 19:54:22

wave52b_offset_harmonic_guided_offset_head_global

Implemented Benchmark

te_wave52b_offset_harmonic_guided_offset_head_global

wave52b_offset_harmonic_guided

0.002483

22,593

2026-07-01 21:42:42

wave52b_offset_harmonic_guided_offset_centered_shape_global

Implemented Benchmark

te_wave52b_offset_harmonic_guided_offset_centered_shape_global

wave52b_offset_harmonic_guided

0.002540

22,593

2026-07-01 23:25:44

periodic_lstm_sequence

Implemented Benchmark

te_periodic_lstm_sequence_remote_global

periodic_lstm_sequence

0.002682

210,561

2026-05-25 19:20:56

feedforward

Current Plain MLP Anchor

te_feedforward_trial

feedforward

0.002877

26,113

2026-06-22 13:13:25

track2h_quantile_probabilistic_gaussian_nll_global

Implemented Benchmark

te_track2h_gaussian_nll_global

curve_aware_harmonic_residual_offset_probe

0.003013

85,958

2026-06-12 13:12:35

residual_harmonic_mlp

Implemented Benchmark

te_residual_h12_deep_joint_wave1_global_optuna_t0006

residual_harmonic_mlp

0.003034

26,266

2026-05-20 11:41:03

periodic_mlp

Implemented Benchmark

te_periodic_mlp_h04_standard_global_optuna_t0010

periodic_mlp

0.003186

27,265

2026-05-21 08:12:57

track2g_curve_aware_harmonic_residual_offset_raw_centered_shape_global

Implemented Benchmark

te_track2g_curve_aware_raw_centered_shape_global

curve_aware_harmonic_residual_offset_probe

0.003350

85,747

2026-06-08 19:45:16

track2h_latent_state_hysteresis_causal_tcn_offset_residual_global

Implemented Benchmark

te_track2h_l_causal_tcn_offset_residual_global

latent_state_hysteresis_probe

0.003368

97,923

2026-06-16 19:16:49

residual_harmonic_lstm_sequence_sparse_rcim

Implemented Benchmark

te_residual_harmonic_lstm_sequence_remote_global_sparse_rcim

residual_harmonic_lstm_sequence

0.003368

201,364

2026-05-27 20:55:58

track2h_quantile_probabilistic_quantile_p10_p50_p90_global

Implemented Benchmark

te_track2h_quantile_p10_p50_p90_global

curve_aware_harmonic_residual_offset_probe

0.003383

86,169

2026-06-12 11:34:56

track2h_dispersion_aware_mae_robust_global

Implemented Benchmark

te_track2h_mae_robust_global

curve_aware_harmonic_residual_offset_probe

0.003406

85,747

2026-06-11 12:07:43

track2h_dispersion_aware_smooth_l1_robust_global

Implemented Benchmark

te_track2h_smooth_l1_robust_global

curve_aware_harmonic_residual_offset_probe

0.003422

85,747

2026-06-11 12:48:44

wave3_harmonic_prior_residual_pointwise_control_global

Implemented Benchmark

te_wave3_harmonic_prior_residual_pointwise_control_global

wave3_harmonic_prior_residual

0.003451

7,283

2026-06-15 14:27:23

track2g_curve_aware_harmonic_residual_offset_raw_offset_global

Implemented Benchmark

te_track2g_curve_aware_raw_offset_global

curve_aware_harmonic_residual_offset_probe

0.003465

85,747

2026-06-08 20:43:53

residual_harmonic_lstm_sequence_dense240

Implemented Benchmark

te_residual_harmonic_lstm_sequence_remote_global_dense240

residual_harmonic_lstm_sequence

0.003473

201,826

2026-05-27 21:22:30

residual_harmonic_lstm_sequence_dense360

Implemented Benchmark

te_residual_harmonic_lstm_sequence_remote_global_dense360

residual_harmonic_lstm_sequence

0.003477

202,066

2026-05-27 22:09:01

lstm_sequence

Implemented Benchmark

te_lstm_sequence_remote_global

lstm_sequence

0.003482

201,345

2026-05-24 12:16:30

track2h_mixture_density_heads_mdn_k2_global

Implemented Benchmark

te_track2h_mdn_k2_global

curve_aware_harmonic_residual_offset_probe

0.003503

86,802

2026-06-13 11:32:06

track2h_dispersion_aware_log_cosh_robust_global

Implemented Benchmark

te_track2h_log_cosh_robust_global

curve_aware_harmonic_residual_offset_probe

0.003505

85,747

2026-06-11 13:43:04

periodic_temporal_convolution

Implemented Benchmark

te_periodic_temporal_convolution_sequence_remote_global

periodic_temporal_convolution

0.003508

158,529

2026-05-25 16:10:13

residual_harmonic_gru_sequence_dense240

Implemented Benchmark

te_residual_harmonic_gru_sequence_remote_global_dense240

residual_harmonic_gru_sequence

0.003511

151,522

2026-05-27 19:32:17

track2f_bis_clean_sequential_residual_offset_global

Implemented Benchmark

te_track2f_bis_clean_residual_offset_global

sequential_residual_offset_probe

0.003528

92,802

2026-06-04 23:43:38

residual_harmonic_gru_sequence_dense360

Implemented Benchmark

te_residual_harmonic_gru_sequence_remote_global_dense360

residual_harmonic_gru_sequence

0.003535

151,762

2026-05-27 20:21:50

sequential_residual_offset_probe

Implemented Benchmark

te_sequential_residual_offset_probe_remote_global

sequential_residual_offset_probe

0.003537

92,802

2026-06-04 11:45:31

track2f_bis_harmonic_residual_offset_global

Implemented Benchmark

te_track2f_bis_harmonic_residual_offset_global

harmonic_residual_offset_probe

0.003538

85,747

2026-06-05 16:19:21

track2h_mixture_density_heads_mdn_k3_global

Implemented Benchmark

te_track2h_mdn_k3_global

curve_aware_harmonic_residual_offset_probe

0.003564

87,435

2026-06-13 12:34:37

track2g_curve_aware_harmonic_residual_offset_pointwise_control_global

Implemented Benchmark

te_track2g_curve_aware_pointwise_control_global

curve_aware_harmonic_residual_offset_probe

0.003587

85,747

2026-06-08 18:56:59

gru_sequence

Implemented Benchmark

te_gru_sequence_remote_global

gru_sequence

0.003591

151,041

2026-05-24 11:54:03

temporal_convolution

Implemented Benchmark

te_temporal_convolution_sequence_remote_global

temporal_convolution

0.003754

147,009

2026-05-24 11:30:23

harmonic_regression

Implemented Benchmark

te_harmonic_order12_linear_conditioned_recovery_global

harmonic_regression

0.003839

125

2026-06-22 13:26:44

feedforward_recovery_micro

Implemented Benchmark

te_feedforward_optuna_recovery_micro_global_optuna_t0000

feedforward

0.004164

109,953

2026-05-12 11:12:51

feedforward_recovery_probe_dense

Implemented Benchmark

te_feedforward_optuna_recovery_probe_dense_global_optuna_t0000

feedforward

0.004602

109,953

2026-05-12 17:16:41

Forward Models

Family

Current Role

Best Run

Model Type

Test MAE [deg]

Params

Last Update

periodic_gru_sequence_fw

Implemented Benchmark

te_periodic_gru_sequence_fw

periodic_gru_sequence

0.001101

157,569

2026-07-09 01:09:21

shape_objective_periodic_mlp_harmonic_fw

Implemented Benchmark

te_shape_objective_periodic_mlp_harmonic_fw__polished_setpoints

periodic_mlp

0.001236

28,545

2026-07-21 19:12:09

causal_offset_mean_periodic_mlp_harmonic_fw

Implemented Benchmark

te_causal_offset_mean_periodic_mlp_harmonic_fw__polished_setpoints

periodic_mlp

0.001277

28,545

2026-07-22 18:23:32

periodic_mlp_harmonic_fw

Implemented Benchmark

te_periodic_mlp_harmonic_fw

periodic_mlp

0.001326

28,417

2026-07-08 03:31:01

phase2_pinn_h0_fourier_control_fw

Implemented Benchmark

te_phase2_pinn_h0_fourier_control_fw__polished_setpoints

harmonic_kinematic_pinn

0.001354

5,635

2026-07-26 14:11:21

wave52b_offset_harmonic_guided_offset_centered_shape_harmonic_fw

Implemented Benchmark

te_wave52b_offset_harmonic_guided_offset_centered_shape_harmonic_fw

wave52b_offset_harmonic_guided

0.001392

22,593

2026-07-02 01:57:18

shape_objective_v3_periodic_gru_sequence_fw

Implemented Benchmark

te_shape_objective_v3_periodic_gru_sequence_fw__polished_setpoints

periodic_gru_sequence

0.001400

157,953

2026-07-21 19:02:58

shape_first_distilled_periodic_mlp_harmonic_fw

Implemented Benchmark

te_shape_first_distilled_periodic_mlp_harmonic_fw__polished_setpoints

periodic_mlp

0.001420

28,545

2026-07-22 14:48:11

stage4_h08_r5_deep

Implemented Benchmark

te_stage4_h08_r5_deep__polished_setpoints_fw

data_only_residual_capacity

0.001455

7,187

2026-07-28 11:04:19

shape_gate_loss_v2_checkpoint_selection_periodic_gru_sequence_fw

Implemented Benchmark

te_shape_gate_loss_v2_periodic_gru_sequence_fw__polished_setpoints

periodic_gru_sequence

0.001463

157,953

2026-07-21 13:08:39

shape_objective_curve_aware_residual_fw

Implemented Benchmark

te_shape_objective_curve_aware_residual_fw__polished_setpoints

curve_aware_harmonic_residual_offset_probe

0.001463

85,747

2026-07-21 19:20:11

phase3_pinn_c1_linear_compliance_soft_fw_seed_314159

Implemented Benchmark

te_phase3_pinn_c1_linear_compliance_soft_fw_seed_314159__polished_setpoints

quasi_static_compliance_pinn

0.001472

7,212

2026-07-26 20:00:21

phase3_pinn_c1_linear_compliance_soft_fw

Implemented Benchmark

te_phase3_pinn_c1_linear_compliance_soft_fw__polished_setpoints

quasi_static_compliance_pinn

0.001495

7,212

2026-07-26 18:21:36

shape_first_distilled_periodic_gru_sequence_fw

Implemented Benchmark

te_shape_first_distilled_periodic_gru_sequence_fw__polished_setpoints

periodic_gru_sequence

0.001523

157,953

2026-07-22 14:43:06

periodic_lstm_sequence_fw

Implemented Benchmark

te_periodic_lstm_sequence_fw

periodic_lstm_sequence

0.001547

210,049

2026-07-09 05:16:31

phase3_pinn_c2_temperature_compliance_soft_fw

Implemented Benchmark

te_phase3_pinn_c2_temperature_compliance_soft_fw__polished_setpoints

quasi_static_compliance_pinn

0.001551

7,212

2026-07-26 18:37:03

stage4_c04_r1_deep

Implemented Benchmark

te_stage4_c04_r1_deep__polished_setpoints_fw

data_only_residual_capacity

0.001609

6,901

2026-07-28 10:17:21

phase3_pinn_c0_learned_mean_control_fw

Implemented Benchmark

te_phase3_pinn_c0_learned_mean_control_fw__polished_setpoints

quasi_static_compliance_pinn

0.001611

7,212

2026-07-26 17:53:30

stage4_h02_r2_deep

Implemented Benchmark

te_stage4_h02_r2_deep__polished_setpoints_fw

data_only_residual_capacity

0.001617

7,745

2026-07-28 10:36:11

stage4_c03_r1_compact

Implemented Benchmark

te_stage4_c03_r1_compact__polished_setpoints_fw

data_only_residual_capacity

0.001620

1,485

2026-07-28 10:12:46

stage4_c01_r1_compact

Implemented Benchmark

te_stage4_c01_r1_compact__polished_setpoints_fw

data_only_residual_capacity

0.001624

1,825

2026-07-28 10:06:00

stage4_c05_r1_compact

Implemented Benchmark

te_stage4_c05_r1_compact__polished_setpoints_fw

data_only_residual_capacity

0.001624

1,825

2026-07-28 10:21:37

stage4_c06_r1_deep

Implemented Benchmark

te_stage4_c06_r1_deep__polished_setpoints_fw

data_only_residual_capacity

0.001665

7,139

2026-07-28 10:25:52

wave4_3_mixture_density_k3_fw

Implemented Benchmark

te_wave4_3_mixture_density_k3_fw

curve_aware_harmonic_residual_offset_probe

0.001671

86,976

2026-07-15 15:39:35

wave4_3_mixture_density_k2_fw

Implemented Benchmark

te_wave4_3_mixture_density_k2_fw

curve_aware_harmonic_residual_offset_probe

0.001698

86,400

2026-07-15 06:02:16

tree_fw

Implemented Benchmark

te_tree_fw__polished_setpoints

hist_gradient_boosting

0.001699

5

2026-07-07 10:07:54

stage4_h07_r5_compact

Implemented Benchmark

te_stage4_h07_r5_compact__polished_setpoints_fw

data_only_residual_capacity

0.001725

1,843

2026-07-28 10:59:18

feedforward_fw

Implemented Benchmark

te_feedforward_fw

feedforward

0.001726

109,697

2026-07-07 19:17:09

periodic_mlp_fw

Implemented Benchmark

te_periodic_mlp_fw

periodic_mlp

0.001742

27,137

2026-07-07 22:12:18

phase3_pinn_c3_nonlinear_compliance_soft_fw

Implemented Benchmark

te_phase3_pinn_c3_nonlinear_compliance_soft_fw__polished_setpoints

quasi_static_compliance_pinn

0.001745

7,212

2026-07-26 18:52:22

residual_harmonic_mlp_fw

Implemented Benchmark

te_residual_harmonic_mlp_fw__polished_setpoints

residual_harmonic_mlp

0.001759

26,266

2026-07-07 14:15:24

stage4_c02_r1_deep

Implemented Benchmark

te_stage4_c02_r1_deep__polished_setpoints_fw

data_only_residual_capacity

0.001760

7,745

2026-07-28 10:08:58

phase2_pinn_h2_oscillator_periodic_closure_fw

Implemented Benchmark

te_phase2_pinn_h2_oscillator_periodic_closure_fw__polished_setpoints

harmonic_kinematic_pinn

0.001784

16,570

2026-07-26 15:35:48

stage4_a01_r2_compact

Implemented Benchmark

te_stage4_a01_r2_compact__polished_setpoints_fw

data_only_residual_capacity

0.001878

1,825

2026-07-28 11:09:21

phase3_pinn_c1_linear_compliance_soft_fw_seed_271828

Implemented Benchmark

te_phase3_pinn_c1_linear_compliance_soft_fw_seed_271828__polished_setpoints

quasi_static_compliance_pinn

0.001898

7,212

2026-07-26 20:07:49

wave4_2_gaussian_nll_fw

Implemented Benchmark

te_wave4_2_gaussian_nll_fw

curve_aware_harmonic_residual_offset_probe

0.001914

85,632

2026-07-14 21:40:47

wave4_2_quantile_p10_p50_p90_fw

Implemented Benchmark

te_wave4_2_quantile_p10_p50_p90_fw

curve_aware_harmonic_residual_offset_probe

0.001914

85,824

2026-07-14 17:11:13

wave3_3_raw_centered_shape_curve_aware_fw

Implemented Benchmark

te_wave3_3_raw_centered_shape_curve_aware_fw

curve_aware_harmonic_residual_offset_probe

0.001917

85,440

2026-07-11 20:41:54

wave3_3_curve_aware_pointwise_control_fw

Implemented Benchmark

te_wave3_3_curve_aware_pointwise_control_fw

curve_aware_harmonic_residual_offset_probe

0.001919

85,440

2026-07-11 14:43:50

wave4_1_log_cosh_robust_loss_fw

Implemented Benchmark

te_wave4_1_log_cosh_robust_loss_fw

curve_aware_harmonic_residual_offset_probe

0.001921

85,440

2026-07-01 07:40:32

stage4_a03_r5_compact

Implemented Benchmark

te_stage4_a03_r5_compact__polished_setpoints_fw

data_only_residual_capacity

0.001926

2,033

2026-07-28 11:16:11

wave52b_offset_harmonic_guided_offset_centered_shape_fw

Implemented Benchmark

te_wave52b_offset_harmonic_guided_offset_centered_shape_fw

wave52b_offset_harmonic_guided

0.001931

22,593

2026-07-02 00:02:31

stage4_h01_r2_compact

Implemented Benchmark

te_stage4_h01_r2_compact__polished_setpoints_fw

data_only_residual_capacity

0.001940

1,825

2026-07-28 10:31:03

wave3_2_harmonic_residual_offset_fw

Implemented Benchmark

te_wave3_2_harmonic_residual_offset_fw

harmonic_residual_offset_probe

0.001948

85,440

2026-07-11 06:13:40

wave52b_offset_harmonic_guided_offset_head_fw

Implemented Benchmark

te_wave52b_offset_harmonic_guided_offset_head_fw

wave52b_offset_harmonic_guided

0.001948

22,593

2026-07-01 22:04:27

phase2_pinn_h1_oscillator_residual_fw

Implemented Benchmark

te_phase2_pinn_h1_oscillator_residual_fw__polished_setpoints

harmonic_kinematic_pinn

0.001951

16,570

2026-07-26 14:33:28

wave3_3_raw_offset_curve_aware_fw

Implemented Benchmark

te_wave3_3_raw_offset_curve_aware_fw

curve_aware_harmonic_residual_offset_probe

0.001953

85,440

2026-07-12 02:57:47

wave4_1_smooth_l1_robust_loss_fw

Implemented Benchmark

te_wave4_1_smooth_l1_robust_loss_fw__polished_actual_values

curve_aware_harmonic_residual_offset_probe

0.001956

85,747

2026-07-13 01:50:39

wave4_1_mae_robust_loss_fw

Implemented Benchmark

te_wave4_1_mae_robust_loss_fw

curve_aware_harmonic_residual_offset_probe

0.001961

85,440

2026-07-12 19:08:24

stage4_h06_r4_deep

Implemented Benchmark

te_stage4_h06_r4_deep__polished_setpoints_fw

data_only_residual_capacity

0.001965

6,857

2026-07-28 10:54:15

wave3_3_full_curve_composite_fw

Implemented Benchmark

te_wave3_3_full_curve_composite_fw

curve_aware_harmonic_residual_offset_probe

0.002038

85,440

2026-07-12 13:09:19

wave52b_offset_harmonic_guided_pointwise_control_fw

Implemented Benchmark

te_wave52b_offset_harmonic_guided_pointwise_control_fw

wave52b_offset_harmonic_guided

0.002054

22,593

2026-07-01 20:13:10

residual_harmonic_gru_sequence_sparse_rcim_fw

Implemented Benchmark

te_residual_harmonic_gru_sequence_sparse_rcim_fw

residual_harmonic_gru_sequence

0.002056

150,676

2026-07-09 08:55:01

harmonic_regression_fw

Implemented Benchmark

te_harmonic_regression_fw__polished_actual_values

harmonic_regression

0.002066

150

2026-07-08 00:32:21

residual_harmonic_lstm_sequence_sparse_rcim_fw

Implemented Benchmark

te_residual_harmonic_lstm_sequence_sparse_rcim_fw__polished_actual_values

residual_harmonic_lstm_sequence

0.002067

201,364

2026-07-09 22:37:02

residual_harmonic_gru_sequence_dense360_fw

Implemented Benchmark

te_residual_harmonic_gru_sequence_dense360_fw__polished_actual_values

residual_harmonic_gru_sequence

0.002074

151,762

2026-07-09 17:49:07

periodic_temporal_convolution_fw

Implemented Benchmark

te_periodic_temporal_convolution_fw__polished_actual_values

periodic_temporal_convolution

0.002077

158,529

2026-07-08 21:27:59

phase3_pinn_c4_hard_elastic_offset_fw

Implemented Benchmark

te_phase3_pinn_c4_hard_elastic_offset_fw__polished_setpoints

quasi_static_compliance_pinn

0.002087

5,611

2026-07-26 19:06:07

causal_offset_mean_gru_sequence_fw

Implemented Benchmark

te_causal_offset_mean_gru_sequence_fw__polished_setpoints

sequential_residual_offset_probe

0.002100

92,802

2026-07-22 18:23:32

residual_harmonic_gru_sequence_dense240_fw

Implemented Benchmark

te_residual_harmonic_gru_sequence_dense240_fw__polished_actual_values

residual_harmonic_gru_sequence

0.002101

151,522

2026-07-09 12:19:38

stage4_h05_r4_compact

Implemented Benchmark

te_stage4_h05_r4_compact__polished_setpoints_fw

data_only_residual_capacity

0.002111

1,513

2026-07-28 10:49:33

residual_harmonic_lstm_sequence_dense240_fw

Implemented Benchmark

te_residual_harmonic_lstm_sequence_dense240_fw

residual_harmonic_lstm_sequence

0.002147

201,314

2026-07-10 02:54:22

wave5_1_harmonic_prior_smooth_l1_structured_fw

Implemented Benchmark

te_wave5_1_harmonic_prior_smooth_l1_structured_fw

wave3_harmonic_prior_residual

0.002151

7,168

2026-07-16 06:57:05

wave5_1_harmonic_prior_pointwise_control_fw

Implemented Benchmark

te_wave5_1_harmonic_prior_pointwise_control_fw

wave3_harmonic_prior_residual

0.002185

7,168

2026-07-16 03:08:07

residual_harmonic_lstm_sequence_dense360_fw

Implemented Benchmark

te_residual_harmonic_lstm_sequence_dense360_fw

residual_harmonic_lstm_sequence

0.002219

201,554

2026-07-10 07:24:50

lstm_sequence_fw

Implemented Benchmark

te_lstm_sequence_fw__polished_actual_values

lstm_sequence

0.002239

201,345

2026-07-08 18:02:26

wave3_1_sequential_residual_offset_probe_fw

Implemented Benchmark

te_wave3_1_sequential_residual_offset_probe_fw

sequential_residual_offset_probe

0.002246

92,418

2026-07-10 11:35:18

gru_sequence_fw

Implemented Benchmark

te_gru_sequence_fw

gru_sequence

0.002247

150,657

2026-07-08 14:10:34

wave3_2_clean_sequential_residual_offset_fw

Implemented Benchmark

te_wave3_2_clean_sequential_residual_offset_fw

sequential_residual_offset_probe

0.002258

92,418

2026-07-10 22:37:03

wave4_4_gru_latent_offset_residual_fw

Implemented Benchmark

te_wave4_4_gru_latent_offset_residual_fw

latent_state_hysteresis_probe

0.002300

124,899

2026-07-15 19:13:13

wave4_4_causal_tcn_latent_offset_residual_fw

Implemented Benchmark

te_wave4_4_causal_tcn_latent_offset_residual_fw

latent_state_hysteresis_probe

0.002316

97,155

2026-07-15 22:54:23

phase2_pinn_h3_oscillator_periodic_bauer_anchor_fw

Implemented Benchmark

te_phase2_pinn_h3_oscillator_periodic_bauer_anchor_fw__polished_setpoints

harmonic_kinematic_pinn

0.002389

16,570

2026-07-26 16:16:46

temporal_convolution_fw

Implemented Benchmark

te_temporal_convolution_fw__polished_actual_values

temporal_convolution

0.002390

147,009

2026-07-08 10:34:09

shape_gate_loss_pilot_periodic_gru_sequence_fw

Implemented Benchmark

te_shape_gate_loss_periodic_gru_sequence_fw__polished_setpoints

periodic_gru_sequence

0.002522

157,953

2026-07-20 20:07:19

stage4_a04_r5_compact

Implemented Benchmark

te_stage4_a04_r5_compact__polished_setpoints_fw

data_only_residual_capacity

0.002846

2,033

2026-07-28 11:19:25

track2f_bis_harmonic_residual_offset_fw

Implemented Benchmark

te_track2f_bis_harmonic_residual_offset_fw

harmonic_residual_offset_probe

0.002862

85,747

2026-06-05 16:32:38

track2h_dispersion_aware_mae_robust_fw

Implemented Benchmark

te_track2h_mae_robust_fw

curve_aware_harmonic_residual_offset_probe

0.003146

85,747

2026-06-11 12:14:52

track2h_quantile_probabilistic_gaussian_nll_fw

Implemented Benchmark

te_track2h_gaussian_nll_fw

curve_aware_harmonic_residual_offset_probe

0.003165

85,958

2026-06-12 13:25:53

track2g_curve_aware_harmonic_residual_offset_raw_centered_shape_fw

Implemented Benchmark

te_track2g_curve_aware_raw_centered_shape_fw

curve_aware_harmonic_residual_offset_probe

0.003181

85,747

2026-06-08 19:56:04

residual_harmonic_gru_sequence_fw_sparse_rcim

Implemented Benchmark

te_residual_harmonic_gru_sequence_remote_Fw_sparse_rcim

residual_harmonic_gru_sequence

0.003200

151,060

2026-05-27 19:12:38

residual_harmonic_gru_sequence_fw_dense240

Implemented Benchmark

te_residual_harmonic_gru_sequence_remote_Fw_dense240

residual_harmonic_gru_sequence

0.003219

151,522

2026-05-27 19:40:30

residual_harmonic_lstm_sequence_fw_sparse_rcim

Implemented Benchmark

te_residual_harmonic_lstm_sequence_remote_Fw_sparse_rcim

residual_harmonic_lstm_sequence

0.003234

201,364

2026-05-27 21:00:48

track2h_mixture_density_heads_mdn_k3_fw

Implemented Benchmark

te_track2h_mdn_k3_fw

curve_aware_harmonic_residual_offset_probe

0.003235

87,435

2026-06-13 12:43:18

residual_harmonic_gru_sequence_fw_dense360

Implemented Benchmark

te_residual_harmonic_gru_sequence_remote_Fw_dense360

residual_harmonic_gru_sequence

0.003241

151,762

2026-05-27 20:33:03

track2g_curve_aware_harmonic_residual_offset_full_curve_composite_fw

Implemented Benchmark

te_track2g_curve_aware_full_curve_composite_fw

curve_aware_harmonic_residual_offset_probe

0.003260

85,747

2026-06-08 21:49:46

residual_harmonic_lstm_sequence_fw_dense240

Implemented Benchmark

te_residual_harmonic_lstm_sequence_remote_Fw_dense240

residual_harmonic_lstm_sequence

0.003262

201,826

2026-05-27 21:29:55

track2g_curve_aware_harmonic_residual_offset_raw_offset_fw

Implemented Benchmark

te_track2g_curve_aware_raw_offset_fw

curve_aware_harmonic_residual_offset_probe

0.003279

85,747

2026-06-08 20:51:34

track2h_quantile_probabilistic_quantile_p10_p50_p90_fw

Implemented Benchmark

te_track2h_quantile_p10_p50_p90_fw

curve_aware_harmonic_residual_offset_probe

0.003285

86,169

2026-06-12 11:43:50

track2h_dispersion_aware_smooth_l1_robust_fw

Implemented Benchmark

te_track2h_smooth_l1_robust_fw

curve_aware_harmonic_residual_offset_probe

0.003314

85,747

2026-06-11 12:56:26

track2h_mixture_density_heads_mdn_k2_fw

Implemented Benchmark

te_track2h_mdn_k2_fw

curve_aware_harmonic_residual_offset_probe

0.003339

86,802

2026-06-13 11:41:07

residual_harmonic_lstm_sequence_fw_dense360

Implemented Benchmark

te_residual_harmonic_lstm_sequence_remote_Fw_dense360

residual_harmonic_lstm_sequence

0.003351

202,066

2026-05-27 22:19:22

track2h_dispersion_aware_log_cosh_robust_fw

Implemented Benchmark

te_track2h_log_cosh_robust_fw

curve_aware_harmonic_residual_offset_probe

0.003355

85,747

2026-06-11 13:51:00

track2g_curve_aware_harmonic_residual_offset_pointwise_control_fw

Implemented Benchmark

te_track2g_curve_aware_pointwise_control_fw

curve_aware_harmonic_residual_offset_probe

0.003371

85,747

2026-06-08 19:08:39

wave3_harmonic_prior_residual_pointwise_control_fw

Implemented Benchmark

te_wave3_harmonic_prior_residual_pointwise_control_fw

wave3_harmonic_prior_residual

0.003382

7,283

2026-06-15 14:34:34

sequential_residual_offset_probe_fw

Implemented Benchmark

te_sequential_residual_offset_probe_remote_fw

sequential_residual_offset_probe

0.003385

92,802

2026-06-04 11:57:40

track2f_bis_clean_sequential_residual_offset_fw

Implemented Benchmark

te_track2f_bis_clean_residual_offset_fw

sequential_residual_offset_probe

0.003446

92,802

2026-06-04 23:48:53

track2h_latent_state_hysteresis_causal_tcn_offset_residual_fw

Implemented Benchmark

te_track2h_l_causal_tcn_offset_residual_fw

latent_state_hysteresis_probe

0.003470

97,923

2026-06-16 19:22:12

wave3_harmonic_prior_residual_smooth_l1_structured_fw

Implemented Benchmark

te_wave3_harmonic_prior_residual_smooth_l1_structured_fw

wave3_harmonic_prior_residual

0.003527

7,283

2026-06-15 15:16:24

track2h_latent_state_hysteresis_gru_offset_residual_fw

Implemented Benchmark

te_track2h_l_gru_offset_residual_fw

latent_state_hysteresis_probe

0.003537

125,475

2026-06-16 18:34:12

stage4_a02_r2_compact

Implemented Benchmark

te_stage4_a02_r2_compact__polished_setpoints_fw

data_only_residual_capacity

0.005241

1,825

2026-07-28 11:13:26

stage4_h03_r3_compact

Implemented Benchmark

te_stage4_h03_r3_compact__polished_setpoints_fw

data_only_residual_capacity

0.046115

1,825

2026-07-28 10:40:56

stage4_h04_r3_deep

Implemented Benchmark

te_stage4_h04_r3_deep__polished_setpoints_fw

data_only_residual_capacity

0.046188

7,745

2026-07-28 10:44:28

Backward Models

Family

Current Role

Best Run

Model Type

Test MAE [deg]

Params

Last Update

periodic_gru_sequence_bw

Current Program Winner

te_periodic_gru_sequence_bw

periodic_gru_sequence

0.001084

157,569

2026-07-09 01:51:59

periodic_lstm_sequence_bw

Implemented Benchmark

te_periodic_lstm_sequence_bw

periodic_lstm_sequence

0.001226

210,049

2026-07-09 05:28:43

periodic_mlp_harmonic_bw

Implemented Benchmark

te_periodic_mlp_harmonic_bw

periodic_mlp

0.001279

28,417

2026-07-08 03:56:01

phase2_pinn_h0_fourier_control_bw

Implemented Benchmark

te_phase2_pinn_h0_fourier_control_bw__polished_setpoints

harmonic_kinematic_pinn

0.001498

5,635

2026-07-26 14:16:04

phase3_pinn_c2_temperature_compliance_soft_bw

Implemented Benchmark

te_phase3_pinn_c2_temperature_compliance_soft_bw__polished_setpoints

quasi_static_compliance_pinn

0.001624

7,212

2026-07-26 18:44:42

wave52b_offset_harmonic_guided_offset_centered_shape_harmonic_bw

Implemented Benchmark

te_wave52b_offset_harmonic_guided_offset_centered_shape_harmonic_bw

wave52b_offset_harmonic_guided

0.001677

22,593

2026-07-02 02:27:12

feedforward_bw

Implemented Benchmark

te_feedforward_bw

feedforward

0.001686

109,697

2026-07-07 19:39:50

tree_bw

Implemented Benchmark

te_tree_bw__polished_setpoints

hist_gradient_boosting

0.001699

5

2026-07-07 10:07:54

wave4_3_mixture_density_k3_bw

Implemented Benchmark

te_wave4_3_mixture_density_k3_bw

curve_aware_harmonic_residual_offset_probe

0.001704

86,976

2026-07-15 16:07:33

residual_harmonic_mlp_bw

Implemented Benchmark

te_residual_harmonic_mlp_bw

residual_harmonic_mlp

0.001712

26,138

2026-07-07 14:47:50

phase2_pinn_h1_oscillator_residual_bw

Implemented Benchmark

te_phase2_pinn_h1_oscillator_residual_bw__polished_setpoints

harmonic_kinematic_pinn

0.001723

16,570

2026-07-26 15:08:52

wave4_3_mixture_density_k2_bw

Implemented Benchmark

te_wave4_3_mixture_density_k2_bw

curve_aware_harmonic_residual_offset_probe

0.001725

86,400

2026-07-15 06:33:19

periodic_mlp_bw

Implemented Benchmark

te_periodic_mlp_bw

periodic_mlp

0.001740

27,137

2026-07-07 22:30:44

phase3_pinn_c0_learned_mean_control_bw

Implemented Benchmark

te_phase3_pinn_c0_learned_mean_control_bw__polished_setpoints

quasi_static_compliance_pinn

0.001825

7,212

2026-07-26 18:00:41

phase3_pinn_c1_linear_compliance_soft_bw

Implemented Benchmark

te_phase3_pinn_c1_linear_compliance_soft_bw__polished_setpoints

quasi_static_compliance_pinn

0.001877

7,212

2026-07-26 18:29:08

wave4_2_quantile_p10_p50_p90_bw

Implemented Benchmark

te_wave4_2_quantile_p10_p50_p90_bw

curve_aware_harmonic_residual_offset_probe

0.001888

85,824

2026-07-14 17:40:45

wave3_2_harmonic_residual_offset_bw

Implemented Benchmark

te_wave3_2_harmonic_residual_offset_bw

harmonic_residual_offset_probe

0.001894

85,440

2026-07-11 06:57:20

wave3_3_raw_offset_curve_aware_bw

Implemented Benchmark

te_wave3_3_raw_offset_curve_aware_bw

curve_aware_harmonic_residual_offset_probe

0.001898

85,440

2026-07-12 03:46:43

wave4_1_log_cosh_robust_loss_bw

Implemented Benchmark

te_wave4_1_log_cosh_robust_loss_bw

curve_aware_harmonic_residual_offset_probe

0.001899

85,440

2026-07-01 08:37:58

wave4_1_mae_robust_loss_bw

Implemented Benchmark

te_wave4_1_mae_robust_loss_bw

curve_aware_harmonic_residual_offset_probe

0.001907

85,440

2026-07-12 19:55:36

wave3_3_raw_centered_shape_curve_aware_bw

Implemented Benchmark

te_wave3_3_raw_centered_shape_curve_aware_bw

curve_aware_harmonic_residual_offset_probe

0.001916

85,440

2026-07-11 21:32:35

wave3_3_curve_aware_pointwise_control_bw

Implemented Benchmark

te_wave3_3_curve_aware_pointwise_control_bw

curve_aware_harmonic_residual_offset_probe

0.001925

85,440

2026-07-11 15:28:19

phase3_pinn_c3_nonlinear_compliance_soft_bw

Implemented Benchmark

te_phase3_pinn_c3_nonlinear_compliance_soft_bw__polished_setpoints

quasi_static_compliance_pinn

0.001926

7,212

2026-07-26 18:59:06

wave4_2_gaussian_nll_bw

Implemented Benchmark

te_wave4_2_gaussian_nll_bw

curve_aware_harmonic_residual_offset_probe

0.001927

85,632

2026-07-14 22:39:07

phase2_pinn_h3_oscillator_periodic_bauer_anchor_bw

Implemented Benchmark

te_phase2_pinn_h3_oscillator_periodic_bauer_anchor_bw__polished_setpoints

harmonic_kinematic_pinn

0.001931

16,570

2026-07-26 16:38:48

phase2_pinn_h2_oscillator_periodic_closure_bw

Implemented Benchmark

te_phase2_pinn_h2_oscillator_periodic_closure_bw__polished_setpoints

harmonic_kinematic_pinn

0.001966

16,570

2026-07-26 15:56:14

wave4_1_smooth_l1_robust_loss_bw

Implemented Benchmark

te_wave4_1_smooth_l1_robust_loss_bw

curve_aware_harmonic_residual_offset_probe

0.001968

85,440

2026-07-13 02:22:43

wave52b_offset_harmonic_guided_pointwise_control_bw

Implemented Benchmark

te_wave52b_offset_harmonic_guided_pointwise_control_bw

wave52b_offset_harmonic_guided

0.001979

22,593

2026-07-01 20:42:26

periodic_temporal_convolution_bw

Implemented Benchmark

te_periodic_temporal_convolution_bw__polished_actual_values

periodic_temporal_convolution

0.002001

158,529

2026-07-08 21:50:44

wave52b_offset_harmonic_guided_offset_head_bw

Implemented Benchmark

te_wave52b_offset_harmonic_guided_offset_head_bw

wave52b_offset_harmonic_guided

0.002008

22,593

2026-07-01 22:36:30

wave52b_offset_harmonic_guided_offset_centered_shape_bw

Implemented Benchmark

te_wave52b_offset_harmonic_guided_offset_centered_shape_bw

wave52b_offset_harmonic_guided

0.002012

22,593

2026-07-02 00:38:22

residual_harmonic_gru_sequence_dense240_bw

Implemented Benchmark

te_residual_harmonic_gru_sequence_dense240_bw__polished_actual_values

residual_harmonic_gru_sequence

0.002049

151,522

2026-07-09 12:52:09

wave3_3_full_curve_composite_bw

Implemented Benchmark

te_wave3_3_full_curve_composite_bw

curve_aware_harmonic_residual_offset_probe

0.002067

85,440

2026-07-12 13:51:11

residual_harmonic_gru_sequence_dense360_bw

Implemented Benchmark

te_residual_harmonic_gru_sequence_dense360_bw__polished_actual_values

residual_harmonic_gru_sequence

0.002071

151,762

2026-07-09 18:18:10

harmonic_regression_bw

Implemented Benchmark

te_harmonic_regression_bw__polished_actual_values

harmonic_regression

0.002076

150

2026-07-08 00:46:14

residual_harmonic_gru_sequence_sparse_rcim_bw

Implemented Benchmark

te_residual_harmonic_gru_sequence_sparse_rcim_bw

residual_harmonic_gru_sequence

0.002083

150,676

2026-07-09 09:31:01

residual_harmonic_lstm_sequence_dense360_bw

Implemented Benchmark

te_residual_harmonic_lstm_sequence_dense360_bw

residual_harmonic_lstm_sequence

0.002097

201,554

2026-07-10 07:56:39

wave5_1_harmonic_prior_pointwise_control_bw

Implemented Benchmark

te_wave5_1_harmonic_prior_pointwise_control_bw

wave3_harmonic_prior_residual

0.002105

7,168

2026-07-16 03:36:03

residual_harmonic_lstm_sequence_sparse_rcim_bw

Implemented Benchmark

te_residual_harmonic_lstm_sequence_sparse_rcim_bw

residual_harmonic_lstm_sequence

0.002108

200,852

2026-07-09 22:49:53

residual_harmonic_lstm_sequence_dense240_bw

Implemented Benchmark

te_residual_harmonic_lstm_sequence_dense240_bw__polished_actual_values

residual_harmonic_lstm_sequence

0.002116

201,826

2026-07-10 03:27:02

wave5_1_harmonic_prior_smooth_l1_structured_bw

Implemented Benchmark

te_wave5_1_harmonic_prior_smooth_l1_structured_bw

wave3_harmonic_prior_residual

0.002178

7,168

2026-07-16 07:23:05

wave3_1_sequential_residual_offset_probe_bw

Implemented Benchmark

te_wave3_1_sequential_residual_offset_probe_bw

sequential_residual_offset_probe

0.002225

92,418

2026-07-10 12:18:02

gru_sequence_bw

Implemented Benchmark

te_gru_sequence_bw

gru_sequence

0.002230

150,657

2026-07-08 14:46:08

lstm_sequence_bw

Implemented Benchmark

te_lstm_sequence_bw

lstm_sequence

0.002240

200,833

2026-07-08 18:46:16

wave3_2_clean_sequential_residual_offset_bw

Implemented Benchmark

te_wave3_2_clean_sequential_residual_offset_bw

sequential_residual_offset_probe

0.002242

92,418

2026-07-10 23:01:43

wave4_4_gru_latent_offset_residual_bw

Implemented Benchmark

te_wave4_4_gru_latent_offset_residual_bw

latent_state_hysteresis_probe

0.002260

124,899

2026-07-15 19:43:02

temporal_convolution_bw

Implemented Benchmark

te_temporal_convolution_bw__polished_actual_values

temporal_convolution

0.002303

147,009

2026-07-08 11:01:13

wave4_4_causal_tcn_latent_offset_residual_bw

Implemented Benchmark

te_wave4_4_causal_tcn_latent_offset_residual_bw

latent_state_hysteresis_probe

0.002309

97,155

2026-07-15 23:09:39

phase3_pinn_c4_hard_elastic_offset_bw

Implemented Benchmark

te_phase3_pinn_c4_hard_elastic_offset_bw__polished_setpoints

quasi_static_compliance_pinn

0.002350

5,611

2026-07-26 19:10:25

track2h_mixture_density_heads_mdn_k2_bw

Implemented Benchmark

te_track2h_mdn_k2_bw

curve_aware_harmonic_residual_offset_probe

0.002658

86,802

2026-06-13 12:14:13

track2h_mixture_density_heads_mdn_k3_bw

Implemented Benchmark

te_track2h_mdn_k3_bw

curve_aware_harmonic_residual_offset_probe

0.002721

87,435

2026-06-13 13:10:07

track2h_quantile_probabilistic_quantile_p10_p50_p90_bw

Implemented Benchmark

te_track2h_quantile_p10_p50_p90_bw

curve_aware_harmonic_residual_offset_probe

0.002927

86,169

2026-06-12 12:10:23

track2h_quantile_probabilistic_gaussian_nll_bw

Implemented Benchmark

te_track2h_gaussian_nll_bw

curve_aware_harmonic_residual_offset_probe

0.002998

85,958

2026-06-12 13:53:26

track2h_dispersion_aware_smooth_l1_robust_bw

Implemented Benchmark

te_track2h_smooth_l1_robust_bw

curve_aware_harmonic_residual_offset_probe

0.003074

85,747

2026-06-11 13:24:47

track2f_bis_harmonic_residual_offset_bw

Implemented Benchmark

te_track2f_bis_harmonic_residual_offset_bw

harmonic_residual_offset_probe

0.003336

85,747

2026-06-05 16:44:49

wave3_harmonic_prior_residual_pointwise_control_bw

Implemented Benchmark

te_wave3_harmonic_prior_residual_pointwise_control_bw

wave3_harmonic_prior_residual

0.003363

7,283

2026-06-15 14:49:19

track2h_dispersion_aware_mae_robust_bw

Implemented Benchmark

te_track2h_mae_robust_bw

curve_aware_harmonic_residual_offset_probe

0.003430

85,747

2026-06-11 12:33:14

track2g_curve_aware_harmonic_residual_offset_pointwise_control_bw

Implemented Benchmark

te_track2g_curve_aware_pointwise_control_bw

curve_aware_harmonic_residual_offset_probe

0.003430

85,747

2026-06-08 19:23:08

wave3_harmonic_prior_residual_smooth_l1_structured_bw

Implemented Benchmark

te_wave3_harmonic_prior_residual_smooth_l1_structured_bw

wave3_harmonic_prior_residual

0.003431

7,283

2026-06-15 15:30:20

residual_harmonic_lstm_sequence_bw_sparse_rcim

Implemented Benchmark

te_residual_harmonic_lstm_sequence_remote_Bw_sparse_rcim

residual_harmonic_lstm_sequence

0.003440

201,364

2026-05-27 21:08:36

track2g_curve_aware_harmonic_residual_offset_raw_centered_shape_bw

Implemented Benchmark

te_track2g_curve_aware_raw_centered_shape_bw

curve_aware_harmonic_residual_offset_probe

0.003465

85,747

2026-06-08 20:11:41

residual_harmonic_gru_sequence_bw_dense360

Implemented Benchmark

te_residual_harmonic_gru_sequence_remote_Bw_dense360

residual_harmonic_gru_sequence

0.003468

151,762

2026-05-27 20:46:25

track2g_curve_aware_harmonic_residual_offset_raw_offset_bw

Implemented Benchmark

te_track2g_curve_aware_raw_offset_bw

curve_aware_harmonic_residual_offset_probe

0.003471

85,747

2026-06-08 21:06:56

track2h_dispersion_aware_log_cosh_robust_bw

Implemented Benchmark

te_track2h_log_cosh_robust_bw

curve_aware_harmonic_residual_offset_probe

0.003481

85,747

2026-06-11 14:01:57

residual_harmonic_gru_sequence_bw_dense240

Implemented Benchmark

te_residual_harmonic_gru_sequence_remote_Bw_dense240

residual_harmonic_gru_sequence

0.003492

151,522

2026-05-27 20:00:10

residual_harmonic_gru_sequence_bw_sparse_rcim

Implemented Benchmark

te_residual_harmonic_gru_sequence_remote_Bw_sparse_rcim

residual_harmonic_gru_sequence

0.003502

151,060

2026-05-27 19:18:56

track2g_curve_aware_harmonic_residual_offset_full_curve_composite_bw

Implemented Benchmark

te_track2g_curve_aware_full_curve_composite_bw

curve_aware_harmonic_residual_offset_probe

0.003511

85,747

2026-06-08 22:05:10

track2f_bis_clean_sequential_residual_offset_bw

Implemented Benchmark

te_track2f_bis_clean_residual_offset_bw

sequential_residual_offset_probe

0.003540

92,802

2026-06-04 23:58:31

track2h_latent_state_hysteresis_gru_offset_residual_bw

Implemented Benchmark

te_track2h_l_gru_offset_residual_bw

latent_state_hysteresis_probe

0.003545

125,475

2026-06-16 18:48:13

residual_harmonic_lstm_sequence_bw_dense360

Implemented Benchmark

te_residual_harmonic_lstm_sequence_remote_Bw_dense360

residual_harmonic_lstm_sequence

0.003556

202,066

2026-05-27 22:35:20

residual_harmonic_lstm_sequence_bw_dense240

Implemented Benchmark

te_residual_harmonic_lstm_sequence_remote_Bw_dense240

residual_harmonic_lstm_sequence

0.003605

201,826

2026-05-27 21:40:13

track2h_latent_state_hysteresis_causal_tcn_offset_residual_bw

Implemented Benchmark

te_track2h_l_causal_tcn_offset_residual_bw

latent_state_hysteresis_probe

0.003630

97,923

2026-06-16 19:34:05

sequential_residual_offset_probe_bw

Implemented Benchmark

te_sequential_residual_offset_probe_remote_bw

sequential_residual_offset_probe

0.003638

92,802

2026-06-04 12:04:47

Active Training Or Improvement Branches

  • No campaign is currently in prepared or running state.

  • The next active implementation branch should therefore be read from the live backlog focus and the next approved campaign plan.

Roadmap And Planned Work

Wave Or Track

Status

Wave 0. Shared Infrastructure

completed.

Low-priority exploratory families currently listed in the backlog:

  • low priority.

  • Lightweight Transformer

  • State-Space Sequence Model

  • Neural ODE

  • Hamiltonian-Inspired Model

  • optional Kernel Ridge / Gaussian Process benchmark | Wave 1. Structured Static Baselines | planning report: completed;; implementation: completed;; smoke tests: completed;; validation checks: completed;; campaign execution: completed;; directional HPO closeout: completed;; exported global, forward, and backward surfaces: completed;; results report: completed;; status: closed. |

Low-priority exploratory families currently listed in the backlog:

  • low priority.

  • Lightweight Transformer

  • State-Space Sequence Model

  • Neural ODE

  • Hamiltonian-Inspired Model

  • optional Kernel Ridge / Gaussian Process benchmark | RCIM Model-Bank Reproduction. RCIM Paper-Faithful Model Bank | recovered original workflow: preserved;; original-dataset reimplementation: completed;; retuned reference archive: completed;; forward campaign: completed;; backward campaign: completed;; paper-reference archives: refreshed;; Tables 2-5: repopulated;; status: closed as faithful full-bank reproduction, not all-green |

Low-priority exploratory families currently listed in the backlog:

  • low priority.

  • Lightweight Transformer

  • State-Space Sequence Model

  • Neural ODE

  • Hamiltonian-Inspired Model

  • optional Kernel Ridge / Gaussian Process benchmark | TE Curve Verification Pipeline. Directional Offline Comparison | direction-aware loader and candidate matrix: completed;; recovered original forward candidates: included;; retuned forward and backward candidates: included;; RCIM Model-Bank Reproduction forward and backward candidates: included;; Wave 1 global, forward, and backward exports: included;; Wave 2.1 temporal global, forward, and backward registry candidates:; grouped source tables: completed;; composite best-reference visibility: completed;; direction/truth and preview audit: completed;; official model-verification report: completed;; multi-index curve-first selection policy: adopted;; complete multi-index reranking over all current official candidates:; status: closed. |

Low-priority exploratory families currently listed in the backlog:

  • low priority.

  • Lightweight Transformer

  • State-Space Sequence Model

  • Neural ODE

  • Hamiltonian-Inspired Model

  • optional Kernel Ridge / Gaussian Process benchmark | Wave 2.1. Temporal Models | status: entry campaign completed; closeout report prepared; official; initial families: temporal_convolution, gru_sequence, lstm_sequence;; configuration root: config/training/hydra/wave2/;; preliminary campaign plan:; closeout report:; campaign winner: te_gru_sequence_remote_Fw from family; refresh plan:; official verification report:; curve-verification decision: verified exploratory baselines, not promoted over tree;; mandatory rule: prepare or justify global, forward, and backward; baseline comparison: TE Curve Verification Pipeline plus closed Wave 1. |

Low-priority exploratory families currently listed in the backlog:

  • low priority.

  • Lightweight Transformer

  • State-Space Sequence Model

  • Neural ODE

  • Hamiltonian-Inspired Model

  • optional Kernel Ridge / Gaussian Process benchmark | Wave 2.2. Harmonic Temporal Hybrid Models | status: harmonic-temporal hybrid campaign completed; normal closeout report; families: periodic_temporal_convolution, periodic_gru_sequence,; configuration root:; preliminary campaign plan:; closeout report:; campaign winner: te_periodic_gru_sequence_remote_Bw from family; strongest bidirectional candidate: te_periodic_gru_sequence_remote_global; curve-verification decision: strongest repository-owned neural branch after official; mandatory rule: prepare or justify global, forward, and backward; baseline comparison: official curve-verification matrix plus visual collage and overlay |

Low-priority exploratory families currently listed in the backlog:

  • low priority.

  • Lightweight Transformer

  • State-Space Sequence Model

  • Neural ODE

  • Hamiltonian-Inspired Model

  • optional Kernel Ridge / Gaussian Process benchmark | Wave 2.3. Residual Harmonic Temporal Hybrid Models | status: residual harmonic temporal hybrid campaign completed; official; families: residual_harmonic_gru_sequence,; harmonic banks: sparse RCIM, dense 240, dense 360;; closeout report:; official verification report:; strongest Wave 2.3 forward candidate:; strongest Wave 2.3 backward candidate:; strongest Wave 2.3 global candidate:; curve-verification decision: verified exploratory baseline, not promoted over the; design conclusion: sparse RCIM harmonics remain useful, while dense 240 |

Low-priority exploratory families currently listed in the backlog:

  • low priority.

  • Lightweight Transformer

  • State-Space Sequence Model

  • Neural ODE

  • Hamiltonian-Inspired Model

  • optional Kernel Ridge / Gaussian Process benchmark | Wave 3.1. Offset-Aware Sequential Residual Probe | status: offset-aware probe campaign completed; official TE Curve Verification Pipeline matrix; family: sequential_residual_offset_probe;; official verification report:; strongest Wave 3.1 forward candidate:; strongest Wave 3.1 backward candidate:; strongest Wave 3.1 global candidate:; curve-verification decision: verified exploratory baseline, not promoted over the; design conclusion: a sequential residual offset head alone does not solve |

Low-priority exploratory families currently listed in the backlog:

  • low priority.

  • Lightweight Transformer

  • State-Space Sequence Model

  • Neural ODE

  • Hamiltonian-Inspired Model

  • optional Kernel Ridge / Gaussian Process benchmark | Wave 3.2. Harmonic-Offset Probe | status: campaign completed after runner registration repair; official; families:; track2f_bis_clean_sequential_residual_offset_global;; track2f_bis_clean_sequential_residual_offset_fw;; track2f_bis_clean_sequential_residual_offset_bw;; track2f_bis_harmonic_residual_offset_global;; track2f_bis_harmonic_residual_offset_fw;; track2f_bis_harmonic_residual_offset_bw;; closeout report:; official verification report:; clean global candidate:; harmonic global candidate:; clean forward candidate:; harmonic forward candidate:; clean backward candidate:; harmonic backward candidate:; strongest Wave 3.2 forward candidate:; strongest Wave 3.2 backward candidate:; strongest Wave 3.2 global candidate:; curve-verification decision: verified exploratory baseline, not promoted over the; design conclusion: harmonic forcing helps the direction-specific Fw and |

Low-priority exploratory families currently listed in the backlog:

  • low priority.

  • Lightweight Transformer

  • State-Space Sequence Model

  • Neural ODE

  • Hamiltonian-Inspired Model

  • optional Kernel Ridge / Gaussian Process benchmark | Wave 4.1. Dispersion-Aware Robust-Loss Probe | status: robust-loss campaign completed; official TE Curve Verification Pipeline matrix refresh; families:; track2h_dispersion_aware_mae_robust_global;; track2h_dispersion_aware_mae_robust_fw;; track2h_dispersion_aware_mae_robust_bw;; track2h_dispersion_aware_smooth_l1_robust_global;; track2h_dispersion_aware_smooth_l1_robust_fw;; track2h_dispersion_aware_smooth_l1_robust_bw;; track2h_dispersion_aware_log_cosh_robust_global;; track2h_dispersion_aware_log_cosh_robust_fw;; track2h_dispersion_aware_log_cosh_robust_bw;; closeout report:; official verification report:; robust global candidate:; robust forward candidate:; robust backward candidate:; campaign scalar winner:; TE Curve Verification Pipeline strongest forward candidate:; TE Curve Verification Pipeline strongest backward candidate:; TE Curve Verification Pipeline strongest global candidate:; curve-verification decision: verified exploratory baseline, not promoted over the; design conclusion: robust losses are useful enough to keep in the |

Low-priority exploratory families currently listed in the backlog:

  • low priority.

  • Lightweight Transformer

  • State-Space Sequence Model

  • Neural ODE

  • Hamiltonian-Inspired Model

  • optional Kernel Ridge / Gaussian Process benchmark | Wave 4.2. Quantile Probabilistic Probe | status: quantile/probabilistic campaign completed; official TE Curve Verification Pipeline matrix; families:; track2h_quantile_probabilistic_quantile_p10_p50_p90_global;; track2h_quantile_probabilistic_quantile_p10_p50_p90_fw;; track2h_quantile_probabilistic_quantile_p10_p50_p90_bw;; track2h_quantile_probabilistic_gaussian_nll_global;; track2h_quantile_probabilistic_gaussian_nll_fw;; track2h_quantile_probabilistic_gaussian_nll_bw;; closeout report:; official verification report:; strongest probabilistic global candidate:; strongest probabilistic forward-only candidate:; strongest probabilistic forward-evaluated candidate:; strongest probabilistic backward candidate:; curve-verification decision: verified exploratory baseline, not promoted over the; design conclusion: probabilistic losses improve over robust losses on the |

Low-priority exploratory families currently listed in the backlog:

  • low priority.

  • Lightweight Transformer

  • State-Space Sequence Model

  • Neural ODE

  • Hamiltonian-Inspired Model

  • optional Kernel Ridge / Gaussian Process benchmark | Wave 4.3. Mixture Density Heads Probe | status: mixture-density heads campaign completed; official TE Curve Verification Pipeline matrix; families:; track2h_mixture_density_heads_mdn_k2_global;; track2h_mixture_density_heads_mdn_k2_fw;; track2h_mixture_density_heads_mdn_k2_bw;; track2h_mixture_density_heads_mdn_k3_global;; track2h_mixture_density_heads_mdn_k3_fw;; track2h_mixture_density_heads_mdn_k3_bw;; closeout report:; official verification report:; matrix output:; strongest MDN global candidate:; strongest MDN forward candidate:; strongest MDN backward candidate:; strongest TE Curve Verification Pipeline forward MDN candidate:; strongest TE Curve Verification Pipeline backward MDN candidate:; strongest TE Curve Verification Pipeline global MDN candidate:; campaign scalar winner:; program scalar winner changed: no, te_periodic_gru_sequence_remote_Bw; curve-verification decision: verified exploratory baseline, not promoted over the; design conclusion: MDN improves the scalar Bw dispersion-aware branch by |

Low-priority exploratory families currently listed in the backlog:

  • low priority.

  • Lightweight Transformer

  • State-Space Sequence Model

  • Neural ODE

  • Hamiltonian-Inspired Model

  • optional Kernel Ridge / Gaussian Process benchmark | Wave 4.4. Latent-State Hysteresis Probe | status: latent-state / hysteresis-aware campaign completed; official; families:; track2h_latent_state_hysteresis_gru_offset_residual_global;; track2h_latent_state_hysteresis_gru_offset_residual_fw;; track2h_latent_state_hysteresis_gru_offset_residual_bw;; track2h_latent_state_hysteresis_causal_tcn_offset_residual_global;; track2h_latent_state_hysteresis_causal_tcn_offset_residual_fw;; track2h_latent_state_hysteresis_causal_tcn_offset_residual_bw;; closeout report:; official TE curve-verification report:; official curve-verification matrix:; strongest Wave 4.4 global candidate:; strongest Wave 4.4 forward candidate:; strongest Wave 4.4 backward candidate:; campaign scalar winner:; program scalar winner changed: no, te_periodic_gru_sequence_remote_Bw; scalar comparison: Wave 4.4 improves the global scalar surface versus MDN; official TE Curve Verification Pipeline strongest refreshed candidates:; curve-verification decision: verified exploratory baseline, not promoted over; design conclusion: causal history is useful as a diagnostic signal, but this |

Low-priority exploratory families currently listed in the backlog:

  • low priority.

  • Lightweight Transformer

  • State-Space Sequence Model

  • Neural ODE

  • Hamiltonian-Inspired Model

  • optional Kernel Ridge / Gaussian Process benchmark | Wave 5.1. Hybrid Structured Models | status: first real campaign closed successfully as a scalar training; current scaffold:; model type: wave3_harmonic_prior_residual;; model class:; dry-run skeleton checker:; training-smoke-ready checker:; final one-batch validation artifact:; prepared package:; prepared launcher:; campaign closeout report:; scalar training winner:; scalar decision: no program-best promotion; the current program winner; official TE Curve Verification Pipeline launcher:; official TE curve-verification report:; strongest Wave 5.1 TE Curve Verification Pipeline candidate:; updated priority: use the completed Wave 5.1 curve, offset, collage, overlay,; mandatory rule: prepare or justify global, forward, and backward; paper-reproduction scope:; compare hybrid structured predictors against the paper-style harmonic stack;; test condition-conditioned residual structure and separate treatment of; prepare the repository-owned deployable predictor package after the; next implementation steps:; proceed to Wave 5.2 reference intake, equation audit, and formulation |

Low-priority exploratory families currently listed in the backlog:

  • low priority.

  • Lightweight Transformer

  • State-Space Sequence Model

  • Neural ODE

  • Hamiltonian-Inspired Model

  • optional Kernel Ridge / Gaussian Process benchmark | Wave 5.2. PINN Formulation And First PINN | status: Phases 0 through 15 complete; sixteen-phase roadmap closed;; canonical roadmap:; physics reference-intake register:; active general formulation families:; Polynomial-Fourier structured residual PINN;; harmonic-kinematic constraint PINN;; contact-regime or energy-consistency PINN where references and observable; additional reference-derived formulations, kept separate until their; full-PINN qualification rule:; training must contain an explicit differentiable physical residual,; harmonic features, Fourier heads, curve metrics, or ungrounded soft; active evidence base:; Waves 3.1 through 3.3 for offset, centered shape, slope, amplitude, phase,; Waves 4.1 through 4.4 for robustness, uncertainty, mixture behavior, and; Wave 5.1 for harmonic priors and structured residual learning;; periodic GRU and periodic harmonic MLP as time-windowed and non-windowed; the existing direction-specific Polynomial Fourier Series PLC; current scaffold:; diagnostic adapter:; diagnostic report builder:; parameter-inventory report builder:; generated diagnostic report:; generated parameter-inventory report:; companion artifacts:; parameter-inventory artifacts:; residual-explanatory diagnostic report:; leakage-safe residual-explanatory rerun:; completed Phase 4 evidence:; all 969 canonical raw files preserve one ordered Fw-to-Bw; no condition contains repeated reversal cycles or repeated major loops;; minor-loop, controlled warm-up, and deterministic reset labels are absent;; PINN-Y1, PINN-Y2, PINN-Y3, and PINN-Y5 are; no Phase 4 training campaign or physical-residual promotion is authorized;; completed Phase 5 evidence:; all 969 common-split condition pairs and 37,805,294 simplified-source; median centered Fw/Bw correlation is 0.985-0.990;; the median absolute directional mean gap is 3.79-4.78 arcmin, but it is; PINN-B1 remains an empirical real-data-trainable comparator but is not a; no Phase 5 training campaign or physical-residual promotion is authorized;; completed Phase 6 evidence:; all 969 raw conditions and 99,696,607 rows were audited with strictly; all directional validity windows pass the speed-stability check;; no transition passes the fourfold robust P95 acceleration-separation gate;; load inertia, commanded drive law, repeated dynamic trajectories, and; no Phase 6 training campaign or physical-residual promotion is authorized;; completed Phase 7 evidence:; six evidence files and eleven required quantities were verified;; angle, torque, and direction are causal, while stiffness, clearance,; PINN-K1 through PINN-K5 are synthetic-only and PINN-K6 is blocked;; no Phase 7 training campaign or physical-residual promotion is authorized;; completed Phase 8 evidence:; five evidence files, eleven quantities, and five PINN-E candidates were; output power is reconstructable only as a one-sided proxy;; input power, internal force, friction loss, and efficiency are absent;; PINN-E1/E2 are synthetic-only, PINN-E5 is offline-only, and; no Phase 8 training campaign or physical-residual promotion is authorized;; completed Phase 9 evidence:; six evidence files, eight quantities, and five PINN-G candidates were; nominal geometry exists, while unit metrology, multi-instance identity,; PINN-G1/G2/G3 are synthetic-only and PINN-G4/G5 are blocked;; MMT remains deferred and no Phase 9 training or residual is authorized;; completed Phase 10 evidence:; three evidence files, eight quantities, and five PINN-W candidates were; operating inputs exist, but reducer identity, chronology, load cycles,; PINN-W2/W3/W4 are synthetic-only and PINN-W1/W5 are blocked;; no Phase 10 training campaign or physical residual is authorized;; completed Phase 11 evidence:; three evidence files, eight quantities, and four PINN-M candidates were; mechanical channels exist, but synchronized electrical, sideband, health,; PINN-M2/M4 are synthetic-only and PINN-M1/M3 are blocked;; no Phase 11 training campaign or physical residual is authorized;; completed Phase 12 evidence:; four evidence files, eight quantities, and six PINN-R candidates were; five hybrid architectures are empirically trainable but none is full-PINN; PINN-R5 is blocked because no validated physical regime gate exists;; no Phase 12 full-PINN campaign or physical residual is authorized;; completed Phase 13 evidence:; all thirteen phase-evidence files and twelve formulation families were; zero isolated candidates are full-PINN eligible;; the tournament closed as no contest without training or a fabricated; completed Phase 14 evidence:; four evidence files, eight requirements, and eight planned integrations; zero promoted components are available against a minimum requirement of; no integrated campaign or combined residual is authorized;; completed Phase 15 evidence:; four final evidence files and all five Wave 6 entry prerequisites were; all five physics-integrated entry prerequisites fail;; no campaign, residual, or automatic phase advance is authorized;; updated priority: preserve reopening conditions and, if desired, prepare a; mandatory rule: prepare or justify global, forward, and backward; paper-reproduction scope:; prepare explicit PINN model and physics-loss formulations for later; test whether soft physics, periodicity, smoothness, harmonic-consistency,; keep online compensation execution out of Wave 5.2 unless Track 3 is; completed inventory conclusions:; known geometry constants are safe for diagnostics and feature generation;; operating metadata can be used for stratification and causal conditioning;; five equivalent-error groups are train-only calibratable;; contact geometry remains unavailable or ambiguous and blocks calibrated; measured TE remains target-only and must not become an inference input.; MMT-specific closed implementation conclusions:; exact-manifest replay preserves all archived model artifacts and split; 224 metadata, geometry, combined, and shuffled comparisons were fitted on; geometry-locked MMT signatures produced zero incremental held-out gain;; 56 calibrated equivalent-error arms were explicitly blocked because; no MMT feature, auxiliary-output, weak-loss, or paper-faithful MMT; MMT future TODO reopening gate:; obtain independent component-error measurements or a validated causal; prove that the resulting MMT inputs vary by operating condition without; create a new technical document and, if training is proposed, a new; until those conditions are met, the MMT-paper-faithful subbranch is not; general full-PINN evidence gates:; register and synthesize each supplied reference;; verify equations, units, assumptions, observability, identifiability,; test equations against measured curves and synthetic or analytical oracles; prepare a separate approved technical document and campaign plan for one; apply multi-index curve-first verification before accepting, combining, or; use validated findings to define the later Wave 6 architecture. |

Low-priority exploratory families currently listed in the backlog:

  • low priority.

  • Lightweight Transformer

  • State-Space Sequence Model

  • Neural ODE

  • Hamiltonian-Inspired Model

  • optional Kernel Ridge / Gaussian Process benchmark | Wave 5. Cross-Wave Comparison And Best Solution | status: pending;; mandatory rule: preserve direction-separated reporting;; paper-reproduction scope:; compare closed offline waves and Track 3 results when available;; finalize the real paper vs repository comparison only after Track 3 |

Low-priority exploratory families currently listed in the backlog:

  • low priority.

  • Lightweight Transformer

  • State-Space Sequence Model

  • Neural ODE

  • Hamiltonian-Inspired Model

  • optional Kernel Ridge / Gaussian Process benchmark | Track 3. Online Compensation And Deployment Evaluation | status: future implementation branch;; canonical objective: close Target B;; scope:; online compensation loop in the TestRig / TwinCAT path;; old future Pipelines 8-10;; Robot and Cycloidal motion-profile validation;; uncompensated versus compensated TE RMS and TE max;; final paper-style Table 9 report;; deployment-readiness interpretation for the selected repository model path. |

Low-priority exploratory families currently listed in the backlog:

  • low priority.

  • Lightweight Transformer

  • State-Space Sequence Model

  • Neural ODE

  • Hamiltonian-Inspired Model

  • optional Kernel Ridge / Gaussian Process benchmark

Recent Campaign Changes

Campaign

Generated At

Completed

Failed

Winner

Impact

wave52r_stage4_data_only_residual_capacity_2026_07_28

2026-07-28 11:19:25

18

0

te_stage4_h08_r5_deep__polished_setpoints_fw

Updated stage4_h08_r5_deep family best

wave52r_stage4_data_only_residual_capacity_2026_07_28

2026-07-28 10:00:02

0

1

N/A

No winner artifact

phase3_c1_fw_stability_repeat_2026_07_26

2026-07-26 20:07:49

2

0

te_phase3_pinn_c1_linear_compliance_soft_fw_seed_314159__polished_setpoints

Updated phase3_pinn_c1_linear_compliance_soft_fw_seed_314159 family best

phase3_quasi_static_compliance_pinn_2026_07_26

2026-07-26 19:23:35

12

0

te_phase3_pinn_c1_linear_compliance_soft_fw__polished_setpoints

Updated phase3_pinn_c1_linear_compliance_soft_fw family best

phase2_harmonic_kinematic_pinn_runtime_bounded_restart_2026_07_26

2026-07-26 16:38:48

8

0

te_phase2_pinn_h0_fourier_control_fw__polished_setpoints

No family-best change

Ranking Policy

  • Primary metric: test_mae

  • First tie-breaker: test_rmse

  • Second tie-breaker: val_mae

  • Third tie-breaker: trainable_parameter_count

  • Direction: minimize

Best Result Per Family

  • Scope-separated family ranking is mandatory for every future wave that introduces more than one canonical training surface.

Global Models

Family

Best Run

Model Type

Val MAE [deg]

Test MAE [deg]

Test RMSE [deg]

Params

Artifact Size

Training Cost

Current Role

periodic_gru_sequence_global

te_periodic_gru_sequence_global

periodic_gru_sequence

0.001132

0.001159

0.001465

157,569

N/A

Unknown

Implemented Benchmark

periodic_lstm_sequence_global

te_periodic_lstm_sequence_global

periodic_lstm_sequence

0.001185

0.001187

0.001505

210,049

N/A

Unknown

Implemented Benchmark

periodic_mlp_harmonic_global

te_periodic_mlp_harmonic_global

periodic_mlp

0.001196

0.001264

0.001737

28,417

N/A

Unknown

Implemented Benchmark

periodic_gru_sequence

te_periodic_gru_sequence_remote_global

periodic_gru_sequence

0.001274

0.001279

0.001638

157,569

1.82 MB

High

Implemented Benchmark

wave4_3_mixture_density_k3_global

te_wave4_3_mixture_density_k3_global

curve_aware_harmonic_residual_offset_probe

0.001407

0.001544

0.001992

86,976

N/A

Unknown

Implemented Benchmark

tree_global

te_tree_global__polished_setpoints

hist_gradient_boosting

0.001498

0.001699

0.002947

5

N/A

Unknown

Implemented Benchmark

residual_harmonic_mlp_global

te_residual_harmonic_mlp_global

residual_harmonic_mlp

0.001621

0.001710

0.002307

26,138

N/A

Unknown

Implemented Benchmark

feedforward_global

te_feedforward_global

feedforward

0.001637

0.001734

0.002220

109,697

N/A

Unknown

Implemented Benchmark

periodic_mlp_global

te_periodic_mlp_global

periodic_mlp

0.001655

0.001741

0.002333

27,137

N/A

Unknown

Implemented Benchmark

wave4_3_mixture_density_k2_global

te_wave4_3_mixture_density_k2_global

curve_aware_harmonic_residual_offset_probe

0.001550

0.001743

0.002245

86,400

N/A

Unknown

Implemented Benchmark

tree

te_hist_gbr_tabular_global

hist_gradient_boosting

0.001591

0.001753

0.002892

4

0.44 MB

Very Low

Implemented Benchmark

wave4_2_quantile_p10_p50_p90_global

te_wave4_2_quantile_p10_p50_p90_global

curve_aware_harmonic_residual_offset_probe

0.001728

0.001878

0.002428

85,824

N/A

Unknown

Implemented Benchmark

wave4_1_mae_robust_loss_global

te_wave4_1_mae_robust_loss_global

curve_aware_harmonic_residual_offset_probe

0.001754

0.001890

0.002443

85,440

N/A

Unknown

Implemented Benchmark

wave4_1_log_cosh_robust_loss_global

te_wave4_1_log_cosh_robust_loss_global

curve_aware_harmonic_residual_offset_probe

0.001776

0.001913

0.002459

85,440

N/A

Unknown

Implemented Benchmark

wave3_2_harmonic_residual_offset_global

te_wave3_2_harmonic_residual_offset_global

harmonic_residual_offset_probe

0.001783

0.001914

0.002470

85,440

N/A

Unknown

Implemented Benchmark

wave3_3_raw_centered_shape_curve_aware_global

te_wave3_3_raw_centered_shape_curve_aware_global

curve_aware_harmonic_residual_offset_probe

0.001797

0.001954

0.002494

85,440

N/A

Unknown

Implemented Benchmark

wave3_3_curve_aware_pointwise_control_global

te_wave3_3_curve_aware_pointwise_control_global

curve_aware_harmonic_residual_offset_probe

0.001837

0.001971

0.002514

85,440

N/A

Unknown

Implemented Benchmark

periodic_temporal_convolution_global

te_periodic_temporal_convolution_global__polished_actual_values

periodic_temporal_convolution

0.001908

0.001999

0.002971

158,529

N/A

Unknown

Implemented Benchmark

wave3_3_raw_offset_curve_aware_global

te_wave3_3_raw_offset_curve_aware_global__polished_actual_values

curve_aware_harmonic_residual_offset_probe

0.001870

0.002001

0.003029

85,747

N/A

Unknown

Implemented Benchmark

wave4_2_gaussian_nll_global

te_wave4_2_gaussian_nll_global

curve_aware_harmonic_residual_offset_probe

0.001825

0.002001

0.002576

85,632

N/A

Unknown

Implemented Benchmark

track2g_curve_aware_harmonic_residual_offset_full_curve_composite_global

te_track2g_curve_aware_full_curve_composite_global

curve_aware_harmonic_residual_offset_probe

0.001872

0.002008

0.002581

85,440

1.00 MB

High

Implemented Benchmark

wave4_1_smooth_l1_robust_loss_global

te_wave4_1_smooth_l1_robust_loss_global

curve_aware_harmonic_residual_offset_probe

0.001866

0.002017

0.002559

85,440

N/A

Unknown

Implemented Benchmark

wave3_3_full_curve_composite_global

te_wave3_3_full_curve_composite_global

curve_aware_harmonic_residual_offset_probe

0.001894

0.002023

0.002587

85,440

N/A

Unknown

Implemented Benchmark

phase3_pinn_c0_learned_mean_control_global

te_phase3_pinn_c0_learned_mean_control_global__polished_setpoints

quasi_static_compliance_pinn

0.001977

0.002050

0.002529

7,212

N/A

Unknown

Implemented Benchmark

residual_harmonic_lstm_sequence_sparse_rcim_global

te_residual_harmonic_lstm_sequence_sparse_rcim_global

residual_harmonic_lstm_sequence

0.001954

0.002062

0.002651

200,852

N/A

Unknown

Implemented Benchmark

residual_harmonic_gru_sequence_sparse_rcim_global

te_residual_harmonic_gru_sequence_sparse_rcim_global__polished_actual_values

residual_harmonic_gru_sequence

0.001938

0.002062

0.003120

151,060

N/A

Unknown

Implemented Benchmark

harmonic_regression_global

te_harmonic_regression_global__polished_actual_values

harmonic_regression

0.001823

0.002071

0.003143

150

N/A

Unknown

Implemented Benchmark

residual_harmonic_gru_sequence_dense240_global

te_residual_harmonic_gru_sequence_dense240_global

residual_harmonic_gru_sequence

0.001967

0.002076

0.002660

151,138

N/A

Unknown

Implemented Benchmark

residual_harmonic_gru_sequence_dense360_global

te_residual_harmonic_gru_sequence_dense360_global__polished_actual_values

residual_harmonic_gru_sequence

0.001960

0.002088

0.003113

151,762

N/A

Unknown

Implemented Benchmark

phase3_pinn_c5_shared_stiffness_global

te_phase3_pinn_c5_shared_stiffness_global__polished_setpoints

quasi_static_compliance_pinn

0.002448

0.002103

0.002550

5,611

N/A

Unknown

Implemented Benchmark

residual_harmonic_gru_sequence_sparse_rcim

te_residual_harmonic_gru_sequence_remote_global_sparse_rcim

residual_harmonic_gru_sequence

0.001978

0.002112

0.002699

150,676

1.74 MB

Medium

Implemented Benchmark

wave5_1_harmonic_prior_smooth_l1_structured_global

te_wave5_1_harmonic_prior_smooth_l1_structured_global

wave3_harmonic_prior_residual

0.001870

0.002119

0.002712

7,168

N/A

Unknown

Implemented Benchmark

wave5_1_harmonic_prior_pointwise_control_global

te_wave5_1_harmonic_prior_pointwise_control_global

wave3_harmonic_prior_residual

0.001894

0.002159

0.002754

7,168

N/A

Unknown

Implemented Benchmark

residual_harmonic_lstm_sequence_dense240_global

te_residual_harmonic_lstm_sequence_dense240_global

residual_harmonic_lstm_sequence

0.002031

0.002161

0.002748

201,314

N/A

Unknown

Implemented Benchmark

wave3_harmonic_prior_residual_smooth_l1_structured_global

te_wave3_harmonic_prior_residual_smooth_l1_structured_global

wave3_harmonic_prior_residual

0.001889

0.002168

0.002763

7,168

0.10 MB

Medium

Implemented Benchmark

wave52b_offset_harmonic_guided_offset_centered_shape_harmonic_global

te_wave52b_offset_harmonic_guided_offset_centered_shape_harmonic_global

wave52b_offset_harmonic_guided

0.001886

0.002215

0.002799

22,593

0.30 MB

High

Implemented Benchmark

residual_harmonic_lstm_sequence_dense360_global

te_residual_harmonic_lstm_sequence_dense360_global

residual_harmonic_lstm_sequence

0.002071

0.002223

0.002815

201,554

N/A

Unknown

Implemented Benchmark

gru_sequence_global

te_gru_sequence_global

gru_sequence

0.002126

0.002229

0.002872

150,657

N/A

Unknown

Implemented Benchmark

lstm_sequence_global

te_lstm_sequence_global

lstm_sequence

0.002151

0.002258

0.002894

200,833

N/A

Unknown

Implemented Benchmark

wave3_1_sequential_residual_offset_probe_global

te_wave3_1_sequential_residual_offset_probe_global

sequential_residual_offset_probe

0.002147

0.002261

0.002896

92,418

N/A

Unknown

Implemented Benchmark

wave4_4_gru_latent_offset_residual_global

te_wave4_4_gru_latent_offset_residual_global__polished_actual_values

latent_state_hysteresis_probe

0.002173

0.002271

0.003341

125,475

N/A

Unknown

Implemented Benchmark

wave3_2_clean_sequential_residual_offset_global

te_wave3_2_clean_sequential_residual_offset_global

sequential_residual_offset_probe

0.002158

0.002276

0.002910

92,418

N/A

Unknown

Implemented Benchmark

wave4_4_causal_tcn_latent_offset_residual_global

te_wave4_4_causal_tcn_latent_offset_residual_global

latent_state_hysteresis_probe

0.002217

0.002315

0.002986

97,155

N/A

Unknown

Implemented Benchmark

temporal_convolution_global

te_temporal_convolution_global__polished_actual_values

temporal_convolution

0.002191

0.002327

0.003391

147,009

N/A

Unknown

Implemented Benchmark

track2h_latent_state_hysteresis_gru_offset_residual_global

te_track2h_l_gru_offset_residual_global

latent_state_hysteresis_probe

0.002232

0.002339

0.002986

124,899

1.48 MB

Medium

Implemented Benchmark

wave52b_offset_harmonic_guided_pointwise_control_global

te_wave52b_offset_harmonic_guided_pointwise_control_global

wave52b_offset_harmonic_guided

0.002210

0.002461

0.003142

22,593

0.30 MB

High

Implemented Benchmark

wave52b_offset_harmonic_guided_offset_head_global

te_wave52b_offset_harmonic_guided_offset_head_global

wave52b_offset_harmonic_guided

0.002249

0.002483

0.003166

22,593

0.30 MB

High

Implemented Benchmark

wave52b_offset_harmonic_guided_offset_centered_shape_global

te_wave52b_offset_harmonic_guided_offset_centered_shape_global

wave52b_offset_harmonic_guided

0.002271

0.002540

0.003229

22,593

0.30 MB

High

Implemented Benchmark

periodic_lstm_sequence

te_periodic_lstm_sequence_remote_global

periodic_lstm_sequence

0.002526

0.002682

0.002969

210,561

2.43 MB

High

Implemented Benchmark

feedforward

te_feedforward_trial

feedforward

0.002725

0.002877

0.003835

26,113

0.32 MB

Low

Current Plain MLP Anchor

track2h_quantile_probabilistic_gaussian_nll_global

te_track2h_gaussian_nll_global

curve_aware_harmonic_residual_offset_probe

0.003267

0.003013

0.003388

85,958

1.00 MB

High

Implemented Benchmark

residual_harmonic_mlp

te_residual_h12_deep_joint_wave1_global_optuna_t0006

residual_harmonic_mlp

0.002895

0.003034

0.003550

26,266

0.32 MB

Unknown

Implemented Benchmark

periodic_mlp

te_periodic_mlp_h04_standard_global_optuna_t0010

periodic_mlp

0.002994

0.003186

0.003690

27,265

0.33 MB

Unknown

Implemented Benchmark

track2g_curve_aware_harmonic_residual_offset_raw_centered_shape_global

te_track2g_curve_aware_raw_centered_shape_global

curve_aware_harmonic_residual_offset_probe

0.003636

0.003350

0.003753

85,747

1.00 MB

Medium

Implemented Benchmark

track2h_latent_state_hysteresis_causal_tcn_offset_residual_global

te_track2h_l_causal_tcn_offset_residual_global

latent_state_hysteresis_probe

0.003543

0.003368

0.003860

97,923

1.17 MB

Medium

Implemented Benchmark

residual_harmonic_lstm_sequence_sparse_rcim

te_residual_harmonic_lstm_sequence_remote_global_sparse_rcim

residual_harmonic_lstm_sequence

0.003632

0.003368

0.003808

201,364

2.32 MB

Low

Implemented Benchmark

track2h_quantile_probabilistic_quantile_p10_p50_p90_global

te_track2h_quantile_p10_p50_p90_global

curve_aware_harmonic_residual_offset_probe

0.003606

0.003383

0.003764

86,169

1.01 MB

Medium

Implemented Benchmark

track2h_dispersion_aware_mae_robust_global

te_track2h_mae_robust_global

curve_aware_harmonic_residual_offset_probe

0.003645

0.003406

0.003807

85,747

1.00 MB

Medium

Implemented Benchmark

track2h_dispersion_aware_smooth_l1_robust_global

te_track2h_smooth_l1_robust_global

curve_aware_harmonic_residual_offset_probe

0.003641

0.003422

0.003810

85,747

1.00 MB

Medium

Implemented Benchmark

wave3_harmonic_prior_residual_pointwise_control_global

te_wave3_harmonic_prior_residual_pointwise_control_global

wave3_harmonic_prior_residual

0.003611

0.003451

0.003851

7,283

0.11 MB

Medium

Implemented Benchmark

track2g_curve_aware_harmonic_residual_offset_raw_offset_global

te_track2g_curve_aware_raw_offset_global

curve_aware_harmonic_residual_offset_probe

0.003564

0.003465

0.003829

85,747

1.00 MB

Medium

Implemented Benchmark

residual_harmonic_lstm_sequence_dense240

te_residual_harmonic_lstm_sequence_remote_global_dense240

residual_harmonic_lstm_sequence

0.003624

0.003473

0.003925

201,826

2.33 MB

Low

Implemented Benchmark

residual_harmonic_lstm_sequence_dense360

te_residual_harmonic_lstm_sequence_remote_global_dense360

residual_harmonic_lstm_sequence

0.003648

0.003477

0.003940

202,066

2.33 MB

Medium

Implemented Benchmark

lstm_sequence

te_lstm_sequence_remote_global

lstm_sequence

0.003681

0.003482

0.003948

201,345

2.32 MB

Low

Implemented Benchmark

track2h_mixture_density_heads_mdn_k2_global

te_track2h_mdn_k2_global

curve_aware_harmonic_residual_offset_probe

0.003654

0.003503

0.003938

86,802

1.01 MB

Medium

Implemented Benchmark

track2h_dispersion_aware_log_cosh_robust_global

te_track2h_log_cosh_robust_global

curve_aware_harmonic_residual_offset_probe

0.003645

0.003505

0.003935

85,747

1.00 MB

Medium

Implemented Benchmark

periodic_temporal_convolution

te_periodic_temporal_convolution_sequence_remote_global

periodic_temporal_convolution

0.003634

0.003508

0.003929

158,529

1.83 MB

Medium

Implemented Benchmark

residual_harmonic_gru_sequence_dense240

te_residual_harmonic_gru_sequence_remote_global_dense240

residual_harmonic_gru_sequence

0.003600

0.003511

0.003983

151,522

1.75 MB

Low

Implemented Benchmark

track2f_bis_clean_sequential_residual_offset_global

te_track2f_bis_clean_residual_offset_global

sequential_residual_offset_probe

0.003717

0.003528

0.004010

92,802

1.09 MB

Low

Implemented Benchmark

residual_harmonic_gru_sequence_dense360

te_residual_harmonic_gru_sequence_remote_global_dense360

residual_harmonic_gru_sequence

0.003628

0.003535

0.003999

151,762

1.75 MB

Medium

Implemented Benchmark

sequential_residual_offset_probe

te_sequential_residual_offset_probe_remote_global

sequential_residual_offset_probe

0.003783

0.003537

0.004005

92,802

1.09 MB

Low

Implemented Benchmark

track2f_bis_harmonic_residual_offset_global

te_track2f_bis_harmonic_residual_offset_global

harmonic_residual_offset_probe

0.003659

0.003538

0.003932

85,747

1.00 MB

Very Low

Implemented Benchmark

track2h_mixture_density_heads_mdn_k3_global

te_track2h_mdn_k3_global

curve_aware_harmonic_residual_offset_probe

0.003617

0.003564

0.003986

87,435

1.02 MB

Medium

Implemented Benchmark

track2g_curve_aware_harmonic_residual_offset_pointwise_control_global

te_track2g_curve_aware_pointwise_control_global

curve_aware_harmonic_residual_offset_probe

0.003607

0.003587

0.004001

85,747

1.00 MB

Medium

Implemented Benchmark

gru_sequence

te_gru_sequence_remote_global

gru_sequence

0.003707

0.003591

0.004110

151,041

1.74 MB

Low

Implemented Benchmark

temporal_convolution

te_temporal_convolution_sequence_remote_global

temporal_convolution

0.003935

0.003754

0.004266

147,009

1.70 MB

Low

Implemented Benchmark

harmonic_regression

te_harmonic_order12_linear_conditioned_recovery_global

harmonic_regression

0.003904

0.003839

0.004555

125

0.01 MB

Low

Implemented Benchmark

feedforward_recovery_micro

te_feedforward_optuna_recovery_micro_global_optuna_t0000

feedforward

0.004266

0.004164

0.005109

109,953

1.28 MB

Unknown

Implemented Benchmark

feedforward_recovery_probe_dense

te_feedforward_optuna_recovery_probe_dense_global_optuna_t0000

feedforward

0.004257

0.004602

0.005262

109,953

1.28 MB

Unknown

Implemented Benchmark

Forward Models

Family

Best Run

Model Type

Val MAE [deg]

Test MAE [deg]

Test RMSE [deg]

Params

Artifact Size

Training Cost

Current Role

periodic_gru_sequence_fw

te_periodic_gru_sequence_fw

periodic_gru_sequence

0.001099

0.001101

0.001409

157,569

N/A

Unknown

Implemented Benchmark

shape_objective_periodic_mlp_harmonic_fw

te_shape_objective_periodic_mlp_harmonic_fw__polished_setpoints

periodic_mlp

0.001429

0.001236

0.001672

28,545

N/A

Unknown

Implemented Benchmark

causal_offset_mean_periodic_mlp_harmonic_fw

te_causal_offset_mean_periodic_mlp_harmonic_fw__polished_setpoints

periodic_mlp

0.001469

0.001277

0.001739

28,545

N/A

Unknown

Implemented Benchmark

periodic_mlp_harmonic_fw

te_periodic_mlp_harmonic_fw

periodic_mlp

0.001144

0.001326

0.001780

28,417

N/A

Unknown

Implemented Benchmark

phase2_pinn_h0_fourier_control_fw

te_phase2_pinn_h0_fourier_control_fw__polished_setpoints

harmonic_kinematic_pinn

0.001418

0.001354

0.001620

5,635

N/A

Unknown

Implemented Benchmark

wave52b_offset_harmonic_guided_offset_centered_shape_harmonic_fw

te_wave52b_offset_harmonic_guided_offset_centered_shape_harmonic_fw

wave52b_offset_harmonic_guided

0.001809

0.001392

0.001771

22,593

0.30 MB

Medium

Implemented Benchmark

shape_objective_v3_periodic_gru_sequence_fw

te_shape_objective_v3_periodic_gru_sequence_fw__polished_setpoints

periodic_gru_sequence

0.001820

0.001400

0.001756

157,953

N/A

Unknown

Implemented Benchmark

shape_first_distilled_periodic_mlp_harmonic_fw

te_shape_first_distilled_periodic_mlp_harmonic_fw__polished_setpoints

periodic_mlp

0.001573

0.001420

0.001866

28,545

N/A

Unknown

Implemented Benchmark

stage4_h08_r5_deep

te_stage4_h08_r5_deep__polished_setpoints_fw

data_only_residual_capacity

0.001490

0.001455

0.001825

7,187

N/A

Unknown

Implemented Benchmark

shape_gate_loss_v2_checkpoint_selection_periodic_gru_sequence_fw

te_shape_gate_loss_v2_periodic_gru_sequence_fw__polished_setpoints

periodic_gru_sequence

0.001983

0.001463

0.001831

157,953

N/A

Unknown

Implemented Benchmark

shape_objective_curve_aware_residual_fw

te_shape_objective_curve_aware_residual_fw__polished_setpoints

curve_aware_harmonic_residual_offset_probe

0.001972

0.001463

0.001854

85,747

N/A

Unknown

Implemented Benchmark

phase3_pinn_c1_linear_compliance_soft_fw_seed_314159

te_phase3_pinn_c1_linear_compliance_soft_fw_seed_314159__polished_setpoints

quasi_static_compliance_pinn

0.001676

0.001472

0.001864

7,212

N/A

Unknown

Implemented Benchmark

phase3_pinn_c1_linear_compliance_soft_fw

te_phase3_pinn_c1_linear_compliance_soft_fw__polished_setpoints

quasi_static_compliance_pinn

0.001702

0.001495

0.001887

7,212

N/A

Unknown

Implemented Benchmark

shape_first_distilled_periodic_gru_sequence_fw

te_shape_first_distilled_periodic_gru_sequence_fw__polished_setpoints

periodic_gru_sequence

0.002004

0.001523

0.001920

157,953

N/A

Unknown

Implemented Benchmark

periodic_lstm_sequence_fw

te_periodic_lstm_sequence_fw

periodic_lstm_sequence

0.001495

0.001547

0.001976

210,049

N/A

Unknown

Implemented Benchmark

phase3_pinn_c2_temperature_compliance_soft_fw

te_phase3_pinn_c2_temperature_compliance_soft_fw__polished_setpoints

quasi_static_compliance_pinn

0.001672

0.001551

0.001950

7,212

N/A

Unknown

Implemented Benchmark

stage4_c04_r1_deep

te_stage4_c04_r1_deep__polished_setpoints_fw

data_only_residual_capacity

0.001828

0.001609

0.002010

6,901

N/A

Unknown

Implemented Benchmark

phase3_pinn_c0_learned_mean_control_fw

te_phase3_pinn_c0_learned_mean_control_fw__polished_setpoints

quasi_static_compliance_pinn

0.001774

0.001611

0.002017

7,212

N/A

Unknown

Implemented Benchmark

stage4_h02_r2_deep

te_stage4_h02_r2_deep__polished_setpoints_fw

data_only_residual_capacity

0.001630

0.001617

0.002030

7,745

N/A

Unknown

Implemented Benchmark

stage4_c03_r1_compact

te_stage4_c03_r1_compact__polished_setpoints_fw

data_only_residual_capacity

0.001874

0.001620

0.002066

1,485

N/A

Unknown

Implemented Benchmark

stage4_c01_r1_compact

te_stage4_c01_r1_compact__polished_setpoints_fw

data_only_residual_capacity

0.001835

0.001624

0.002065

1,825

N/A

Unknown

Implemented Benchmark

stage4_c05_r1_compact

te_stage4_c05_r1_compact__polished_setpoints_fw

data_only_residual_capacity

0.001835

0.001624

0.002065

1,825

N/A

Unknown

Implemented Benchmark

stage4_c06_r1_deep

te_stage4_c06_r1_deep__polished_setpoints_fw

data_only_residual_capacity

0.001915

0.001665

0.002134

7,139

N/A

Unknown

Implemented Benchmark

wave4_3_mixture_density_k3_fw

te_wave4_3_mixture_density_k3_fw

curve_aware_harmonic_residual_offset_probe

0.001501

0.001671

0.002181

86,976

N/A

Unknown

Implemented Benchmark

wave4_3_mixture_density_k2_fw

te_wave4_3_mixture_density_k2_fw

curve_aware_harmonic_residual_offset_probe

0.001493

0.001698

0.002196

86,400

N/A

Unknown

Implemented Benchmark

tree_fw

te_tree_fw__polished_setpoints

hist_gradient_boosting

0.001498

0.001699

0.002947

5

N/A

Unknown

Implemented Benchmark

stage4_h07_r5_compact

te_stage4_h07_r5_compact__polished_setpoints_fw

data_only_residual_capacity

0.001765

0.001725

0.002119

1,843

N/A

Unknown

Implemented Benchmark

feedforward_fw

te_feedforward_fw

feedforward

0.001628

0.001726

0.002205

109,697

N/A

Unknown

Implemented Benchmark

periodic_mlp_fw

te_periodic_mlp_fw

periodic_mlp

0.001597

0.001742

0.002329

27,137

N/A

Unknown

Implemented Benchmark

phase3_pinn_c3_nonlinear_compliance_soft_fw

te_phase3_pinn_c3_nonlinear_compliance_soft_fw__polished_setpoints

quasi_static_compliance_pinn

0.001942

0.001745

0.002209

7,212

N/A

Unknown

Implemented Benchmark

residual_harmonic_mlp_fw

te_residual_harmonic_mlp_fw__polished_setpoints

residual_harmonic_mlp

0.001599

0.001759

0.002336

26,266

N/A

Unknown

Implemented Benchmark

stage4_c02_r1_deep

te_stage4_c02_r1_deep__polished_setpoints_fw

data_only_residual_capacity

0.002001

0.001760

0.002226

7,745

N/A

Unknown

Implemented Benchmark

phase2_pinn_h2_oscillator_periodic_closure_fw

te_phase2_pinn_h2_oscillator_periodic_closure_fw__polished_setpoints

harmonic_kinematic_pinn

0.002074

0.001784

0.002245

16,570

N/A

Unknown

Implemented Benchmark

stage4_a01_r2_compact

te_stage4_a01_r2_compact__polished_setpoints_fw

data_only_residual_capacity

0.002265

0.001878

0.002393

1,825

N/A

Unknown

Implemented Benchmark

phase3_pinn_c1_linear_compliance_soft_fw_seed_271828

te_phase3_pinn_c1_linear_compliance_soft_fw_seed_271828__polished_setpoints

quasi_static_compliance_pinn

0.002123

0.001898

0.002340

7,212

N/A

Unknown

Implemented Benchmark

wave4_2_gaussian_nll_fw

te_wave4_2_gaussian_nll_fw

curve_aware_harmonic_residual_offset_probe

0.001739

0.001914

0.002482

85,632

N/A

Unknown

Implemented Benchmark

wave4_2_quantile_p10_p50_p90_fw

te_wave4_2_quantile_p10_p50_p90_fw

curve_aware_harmonic_residual_offset_probe

0.001731

0.001914

0.002457

85,824

N/A

Unknown

Implemented Benchmark

wave3_3_raw_centered_shape_curve_aware_fw

te_wave3_3_raw_centered_shape_curve_aware_fw

curve_aware_harmonic_residual_offset_probe

0.001789

0.001917

0.002466

85,440

N/A

Unknown

Implemented Benchmark

wave3_3_curve_aware_pointwise_control_fw

te_wave3_3_curve_aware_pointwise_control_fw

curve_aware_harmonic_residual_offset_probe

0.001792

0.001919

0.002463

85,440

N/A

Unknown

Implemented Benchmark

wave4_1_log_cosh_robust_loss_fw

te_wave4_1_log_cosh_robust_loss_fw

curve_aware_harmonic_residual_offset_probe

0.001807

0.001921

0.002465

85,440

N/A

Unknown

Implemented Benchmark

stage4_a03_r5_compact

te_stage4_a03_r5_compact__polished_setpoints_fw

data_only_residual_capacity

0.002057

0.001926

0.002382

2,033

N/A

Unknown

Implemented Benchmark

wave52b_offset_harmonic_guided_offset_centered_shape_fw

te_wave52b_offset_harmonic_guided_offset_centered_shape_fw

wave52b_offset_harmonic_guided

0.002258

0.001931

0.002445

22,593

0.30 MB

Medium

Implemented Benchmark

stage4_h01_r2_compact

te_stage4_h01_r2_compact__polished_setpoints_fw

data_only_residual_capacity

0.002123

0.001940

0.002397

1,825

N/A

Unknown

Implemented Benchmark

wave3_2_harmonic_residual_offset_fw

te_wave3_2_harmonic_residual_offset_fw

harmonic_residual_offset_probe

0.001809

0.001948

0.002507

85,440

N/A

Unknown

Implemented Benchmark

wave52b_offset_harmonic_guided_offset_head_fw

te_wave52b_offset_harmonic_guided_offset_head_fw

wave52b_offset_harmonic_guided

0.002256

0.001948

0.002454

22,593

0.30 MB

Medium

Implemented Benchmark

phase2_pinn_h1_oscillator_residual_fw

te_phase2_pinn_h1_oscillator_residual_fw__polished_setpoints

harmonic_kinematic_pinn

0.002127

0.001951

0.002401

16,570

N/A

Unknown

Implemented Benchmark

wave3_3_raw_offset_curve_aware_fw

te_wave3_3_raw_offset_curve_aware_fw

curve_aware_harmonic_residual_offset_probe

0.001833

0.001953

0.002499

85,440

N/A

Unknown

Implemented Benchmark

wave4_1_smooth_l1_robust_loss_fw

te_wave4_1_smooth_l1_robust_loss_fw__polished_actual_values

curve_aware_harmonic_residual_offset_probe

0.001835

0.001956

0.002999

85,747

N/A

Unknown

Implemented Benchmark

wave4_1_mae_robust_loss_fw

te_wave4_1_mae_robust_loss_fw

curve_aware_harmonic_residual_offset_probe

0.001806

0.001961

0.002502

85,440

N/A

Unknown

Implemented Benchmark

stage4_h06_r4_deep

te_stage4_h06_r4_deep__polished_setpoints_fw

data_only_residual_capacity

0.002177

0.001965

0.002572

6,857

N/A

Unknown

Implemented Benchmark

wave3_3_full_curve_composite_fw

te_wave3_3_full_curve_composite_fw

curve_aware_harmonic_residual_offset_probe

0.001898

0.002038

0.002607

85,440

N/A

Unknown

Implemented Benchmark

wave52b_offset_harmonic_guided_pointwise_control_fw

te_wave52b_offset_harmonic_guided_pointwise_control_fw

wave52b_offset_harmonic_guided

0.002344

0.002054

0.002564

22,593

0.30 MB

Medium

Implemented Benchmark

residual_harmonic_gru_sequence_sparse_rcim_fw

te_residual_harmonic_gru_sequence_sparse_rcim_fw

residual_harmonic_gru_sequence

0.001942

0.002056

0.002645

150,676

N/A

Unknown

Implemented Benchmark

harmonic_regression_fw

te_harmonic_regression_fw__polished_actual_values

harmonic_regression

0.001823

0.002066

0.003135

150

N/A

Unknown

Implemented Benchmark

residual_harmonic_lstm_sequence_sparse_rcim_fw

te_residual_harmonic_lstm_sequence_sparse_rcim_fw__polished_actual_values

residual_harmonic_lstm_sequence

0.001951

0.002067

0.003129

201,364

N/A

Unknown

Implemented Benchmark

residual_harmonic_gru_sequence_dense360_fw

te_residual_harmonic_gru_sequence_dense360_fw__polished_actual_values

residual_harmonic_gru_sequence

0.001955

0.002074

0.003114

151,762

N/A

Unknown

Implemented Benchmark

periodic_temporal_convolution_fw

te_periodic_temporal_convolution_fw__polished_actual_values

periodic_temporal_convolution

0.001939

0.002077

0.003080

158,529

N/A

Unknown

Implemented Benchmark

phase3_pinn_c4_hard_elastic_offset_fw

te_phase3_pinn_c4_hard_elastic_offset_fw__polished_setpoints

quasi_static_compliance_pinn

0.002301

0.002087

0.002481

5,611

N/A

Unknown

Implemented Benchmark

causal_offset_mean_gru_sequence_fw

te_causal_offset_mean_gru_sequence_fw__polished_setpoints

sequential_residual_offset_probe

0.002428

0.002100

0.002610

92,802

N/A

Unknown

Implemented Benchmark

residual_harmonic_gru_sequence_dense240_fw

te_residual_harmonic_gru_sequence_dense240_fw__polished_actual_values

residual_harmonic_gru_sequence

0.001969

0.002101

0.003138

151,522

N/A

Unknown

Implemented Benchmark

stage4_h05_r4_compact

te_stage4_h05_r4_compact__polished_setpoints_fw

data_only_residual_capacity

0.002346

0.002111

0.002707

1,513

N/A

Unknown

Implemented Benchmark

residual_harmonic_lstm_sequence_dense240_fw

te_residual_harmonic_lstm_sequence_dense240_fw

residual_harmonic_lstm_sequence

0.002044

0.002147

0.002745

201,314

N/A

Unknown

Implemented Benchmark

wave5_1_harmonic_prior_smooth_l1_structured_fw

te_wave5_1_harmonic_prior_smooth_l1_structured_fw

wave3_harmonic_prior_residual

0.001912

0.002151

0.002745

7,168

N/A

Unknown

Implemented Benchmark

wave5_1_harmonic_prior_pointwise_control_fw

te_wave5_1_harmonic_prior_pointwise_control_fw

wave3_harmonic_prior_residual

0.001913

0.002185

0.002776

7,168

N/A

Unknown

Implemented Benchmark

residual_harmonic_lstm_sequence_dense360_fw

te_residual_harmonic_lstm_sequence_dense360_fw

residual_harmonic_lstm_sequence

0.002066

0.002219

0.002819

201,554

N/A

Unknown

Implemented Benchmark

lstm_sequence_fw

te_lstm_sequence_fw__polished_actual_values

lstm_sequence

0.002151

0.002239

0.003319

201,345

N/A

Unknown

Implemented Benchmark

wave3_1_sequential_residual_offset_probe_fw

te_wave3_1_sequential_residual_offset_probe_fw

sequential_residual_offset_probe

0.002154

0.002246

0.002893

92,418

N/A

Unknown

Implemented Benchmark

gru_sequence_fw

te_gru_sequence_fw

gru_sequence

0.002130

0.002247

0.002882

150,657

N/A

Unknown

Implemented Benchmark

wave3_2_clean_sequential_residual_offset_fw

te_wave3_2_clean_sequential_residual_offset_fw

sequential_residual_offset_probe

0.002159

0.002258

0.002897

92,418

N/A

Unknown

Implemented Benchmark

wave4_4_gru_latent_offset_residual_fw

te_wave4_4_gru_latent_offset_residual_fw

latent_state_hysteresis_probe

0.002201

0.002300

0.002953

124,899

N/A

Unknown

Implemented Benchmark

wave4_4_causal_tcn_latent_offset_residual_fw

te_wave4_4_causal_tcn_latent_offset_residual_fw

latent_state_hysteresis_probe

0.002224

0.002316

0.002980

97,155

N/A

Unknown

Implemented Benchmark

phase2_pinn_h3_oscillator_periodic_bauer_anchor_fw

te_phase2_pinn_h3_oscillator_periodic_bauer_anchor_fw__polished_setpoints

harmonic_kinematic_pinn

0.002898

0.002389

0.003042

16,570

N/A

Unknown

Implemented Benchmark

temporal_convolution_fw

te_temporal_convolution_fw__polished_actual_values

temporal_convolution

0.002272

0.002390

0.003496

147,009

N/A

Unknown

Implemented Benchmark

shape_gate_loss_pilot_periodic_gru_sequence_fw

te_shape_gate_loss_periodic_gru_sequence_fw__polished_setpoints

periodic_gru_sequence

0.002297

0.002522

0.003133

157,953

N/A

Unknown

Implemented Benchmark

stage4_a04_r5_compact

te_stage4_a04_r5_compact__polished_setpoints_fw

data_only_residual_capacity

0.003065

0.002846

0.003546

2,033

N/A

Unknown

Implemented Benchmark

track2f_bis_harmonic_residual_offset_fw

te_track2f_bis_harmonic_residual_offset_fw

harmonic_residual_offset_probe

0.002941

0.002862

0.003334

85,747

1.00 MB

Very Low

Implemented Benchmark

track2h_dispersion_aware_mae_robust_fw

te_track2h_mae_robust_fw

curve_aware_harmonic_residual_offset_probe

0.003258

0.003146

0.003527

85,747

1.00 MB

Low

Implemented Benchmark

track2h_quantile_probabilistic_gaussian_nll_fw

te_track2h_gaussian_nll_fw

curve_aware_harmonic_residual_offset_probe

0.003293

0.003165

0.003548

85,958

1.00 MB

Low

Implemented Benchmark

track2g_curve_aware_harmonic_residual_offset_raw_centered_shape_fw

te_track2g_curve_aware_raw_centered_shape_fw

curve_aware_harmonic_residual_offset_probe

0.003251

0.003181

0.003571

85,747

1.00 MB

Low

Implemented Benchmark

residual_harmonic_gru_sequence_fw_sparse_rcim

te_residual_harmonic_gru_sequence_remote_Fw_sparse_rcim

residual_harmonic_gru_sequence

0.003309

0.003200

0.003635

151,060

1.75 MB

Low

Implemented Benchmark

residual_harmonic_gru_sequence_fw_dense240

te_residual_harmonic_gru_sequence_remote_Fw_dense240

residual_harmonic_gru_sequence

0.003270

0.003219

0.003653

151,522

1.75 MB

Low

Implemented Benchmark

residual_harmonic_lstm_sequence_fw_sparse_rcim

te_residual_harmonic_lstm_sequence_remote_Fw_sparse_rcim

residual_harmonic_lstm_sequence

0.003344

0.003234

0.003679

201,364

2.32 MB

Low

Implemented Benchmark

track2h_mixture_density_heads_mdn_k3_fw

te_track2h_mdn_k3_fw

curve_aware_harmonic_residual_offset_probe

0.003253

0.003235

0.003613

87,435

1.02 MB

Low

Implemented Benchmark

residual_harmonic_gru_sequence_fw_dense360

te_residual_harmonic_gru_sequence_remote_Fw_dense360

residual_harmonic_gru_sequence

0.003265

0.003241

0.003677

151,762

1.75 MB

Low

Implemented Benchmark

track2g_curve_aware_harmonic_residual_offset_full_curve_composite_fw

te_track2g_curve_aware_full_curve_composite_fw

curve_aware_harmonic_residual_offset_probe

0.003320

0.003260

0.003630

85,747

1.00 MB

Low

Implemented Benchmark

residual_harmonic_lstm_sequence_fw_dense240

te_residual_harmonic_lstm_sequence_remote_Fw_dense240

residual_harmonic_lstm_sequence

0.003307

0.003262

0.003706

201,826

2.33 MB

Low

Implemented Benchmark

track2g_curve_aware_harmonic_residual_offset_raw_offset_fw

te_track2g_curve_aware_raw_offset_fw

curve_aware_harmonic_residual_offset_probe

0.003328

0.003279

0.003698

85,747

1.00 MB

Low

Implemented Benchmark

track2h_quantile_probabilistic_quantile_p10_p50_p90_fw

te_track2h_quantile_p10_p50_p90_fw

curve_aware_harmonic_residual_offset_probe

0.003269

0.003285

0.003668

86,169

1.01 MB

Low

Implemented Benchmark

track2h_dispersion_aware_smooth_l1_robust_fw

te_track2h_smooth_l1_robust_fw

curve_aware_harmonic_residual_offset_probe

0.003235

0.003314

0.003679

85,747

1.00 MB

Low

Implemented Benchmark

track2h_mixture_density_heads_mdn_k2_fw

te_track2h_mdn_k2_fw

curve_aware_harmonic_residual_offset_probe

0.003285

0.003339

0.003721

86,802

1.01 MB

Low

Implemented Benchmark

residual_harmonic_lstm_sequence_fw_dense360

te_residual_harmonic_lstm_sequence_remote_Fw_dense360

residual_harmonic_lstm_sequence

0.003302

0.003351

0.003774

202,066

2.33 MB

Low

Implemented Benchmark

track2h_dispersion_aware_log_cosh_robust_fw

te_track2h_log_cosh_robust_fw

curve_aware_harmonic_residual_offset_probe

0.003280

0.003355

0.003708

85,747

1.00 MB

Low

Implemented Benchmark

track2g_curve_aware_harmonic_residual_offset_pointwise_control_fw

te_track2g_curve_aware_pointwise_control_fw

curve_aware_harmonic_residual_offset_probe

0.003291

0.003371

0.003763

85,747

1.00 MB

Low

Implemented Benchmark

wave3_harmonic_prior_residual_pointwise_control_fw

te_wave3_harmonic_prior_residual_pointwise_control_fw

wave3_harmonic_prior_residual

0.003315

0.003382

0.003779

7,283

0.11 MB

Low

Implemented Benchmark

sequential_residual_offset_probe_fw

te_sequential_residual_offset_probe_remote_fw

sequential_residual_offset_probe

0.003380

0.003385

0.003931

92,802

1.09 MB

Low

Implemented Benchmark

track2f_bis_clean_sequential_residual_offset_fw

te_track2f_bis_clean_residual_offset_fw

sequential_residual_offset_probe

0.003474

0.003446

0.003972

92,802

1.09 MB

Low

Implemented Benchmark

track2h_latent_state_hysteresis_causal_tcn_offset_residual_fw

te_track2h_l_causal_tcn_offset_residual_fw

latent_state_hysteresis_probe

0.003565

0.003470

0.004068

97,923

1.17 MB

Low

Implemented Benchmark

wave3_harmonic_prior_residual_smooth_l1_structured_fw

te_wave3_harmonic_prior_residual_smooth_l1_structured_fw

wave3_harmonic_prior_residual

0.003310

0.003527

0.003900

7,283

0.11 MB

Low

Implemented Benchmark

track2h_latent_state_hysteresis_gru_offset_residual_fw

te_track2h_l_gru_offset_residual_fw

latent_state_hysteresis_probe

0.003468

0.003537

0.004110

125,475

1.48 MB

Low

Implemented Benchmark

stage4_a02_r2_compact

te_stage4_a02_r2_compact__polished_setpoints_fw

data_only_residual_capacity

0.006336

0.005241

0.006491

1,825

N/A

Unknown

Implemented Benchmark

stage4_h03_r3_compact

te_stage4_h03_r3_compact__polished_setpoints_fw

data_only_residual_capacity

0.058291

0.046115

0.055988

1,825

N/A

Unknown

Implemented Benchmark

stage4_h04_r3_deep

te_stage4_h04_r3_deep__polished_setpoints_fw

data_only_residual_capacity

0.058330

0.046188

0.055998

7,745

N/A

Unknown

Implemented Benchmark

Backward Models

Family

Best Run

Model Type

Val MAE [deg]

Test MAE [deg]

Test RMSE [deg]

Params

Artifact Size

Training Cost

Current Role

periodic_gru_sequence_bw

te_periodic_gru_sequence_bw

periodic_gru_sequence

0.001088

0.001084

0.001393

157,569

N/A

Unknown

Current Program Winner

periodic_lstm_sequence_bw

te_periodic_lstm_sequence_bw

periodic_lstm_sequence

0.001230

0.001226

0.001558

210,049

N/A

Unknown

Implemented Benchmark

periodic_mlp_harmonic_bw

te_periodic_mlp_harmonic_bw

periodic_mlp

0.001103

0.001279

0.001719

28,417

N/A

Unknown

Implemented Benchmark

phase2_pinn_h0_fourier_control_bw

te_phase2_pinn_h0_fourier_control_bw__polished_setpoints

harmonic_kinematic_pinn

0.001624

0.001498

0.001809

5,635

N/A

Unknown

Implemented Benchmark

phase3_pinn_c2_temperature_compliance_soft_bw

te_phase3_pinn_c2_temperature_compliance_soft_bw__polished_setpoints

quasi_static_compliance_pinn

0.001727

0.001624

0.002068

7,212

N/A

Unknown

Implemented Benchmark

wave52b_offset_harmonic_guided_offset_centered_shape_harmonic_bw

te_wave52b_offset_harmonic_guided_offset_centered_shape_harmonic_bw

wave52b_offset_harmonic_guided

0.002320

0.001677

0.002151

22,593

0.30 MB

Medium

Implemented Benchmark

feedforward_bw

te_feedforward_bw

feedforward

0.001630

0.001686

0.002175

109,697

N/A

Unknown

Implemented Benchmark

tree_bw

te_tree_bw__polished_setpoints

hist_gradient_boosting

0.001498

0.001699

0.002947

5

N/A

Unknown

Implemented Benchmark

wave4_3_mixture_density_k3_bw

te_wave4_3_mixture_density_k3_bw

curve_aware_harmonic_residual_offset_probe

0.001519

0.001704

0.002205

86,976

N/A

Unknown

Implemented Benchmark

residual_harmonic_mlp_bw

te_residual_harmonic_mlp_bw

residual_harmonic_mlp

0.001609

0.001712

0.002294

26,138

N/A

Unknown

Implemented Benchmark

phase2_pinn_h1_oscillator_residual_bw

te_phase2_pinn_h1_oscillator_residual_bw__polished_setpoints

harmonic_kinematic_pinn

0.001856

0.001723

0.002210

16,570

N/A

Unknown

Implemented Benchmark

wave4_3_mixture_density_k2_bw

te_wave4_3_mixture_density_k2_bw

curve_aware_harmonic_residual_offset_probe

0.001528

0.001725

0.002226

86,400

N/A

Unknown

Implemented Benchmark

periodic_mlp_bw

te_periodic_mlp_bw

periodic_mlp

0.001658

0.001740

0.002328

27,137

N/A

Unknown

Implemented Benchmark

phase3_pinn_c0_learned_mean_control_bw

te_phase3_pinn_c0_learned_mean_control_bw__polished_setpoints

quasi_static_compliance_pinn

0.001927

0.001825

0.002313

7,212

N/A

Unknown

Implemented Benchmark

phase3_pinn_c1_linear_compliance_soft_bw

te_phase3_pinn_c1_linear_compliance_soft_bw__polished_setpoints

quasi_static_compliance_pinn

0.001970

0.001877

0.002386

7,212

N/A

Unknown

Implemented Benchmark

wave4_2_quantile_p10_p50_p90_bw

te_wave4_2_quantile_p10_p50_p90_bw

curve_aware_harmonic_residual_offset_probe

0.001741

0.001888

0.002435

85,824

N/A

Unknown

Implemented Benchmark

wave3_2_harmonic_residual_offset_bw

te_wave3_2_harmonic_residual_offset_bw

harmonic_residual_offset_probe

0.001791

0.001894

0.002440

85,440

N/A

Unknown

Implemented Benchmark

wave3_3_raw_offset_curve_aware_bw

te_wave3_3_raw_offset_curve_aware_bw

curve_aware_harmonic_residual_offset_probe

0.001768

0.001898

0.002445

85,440

N/A

Unknown

Implemented Benchmark

wave4_1_log_cosh_robust_loss_bw

te_wave4_1_log_cosh_robust_loss_bw

curve_aware_harmonic_residual_offset_probe

0.001766

0.001899

0.002442

85,440

N/A

Unknown

Implemented Benchmark

wave4_1_mae_robust_loss_bw

te_wave4_1_mae_robust_loss_bw

curve_aware_harmonic_residual_offset_probe

0.001757

0.001907

0.002455

85,440

N/A

Unknown

Implemented Benchmark

wave3_3_raw_centered_shape_curve_aware_bw

te_wave3_3_raw_centered_shape_curve_aware_bw

curve_aware_harmonic_residual_offset_probe

0.001804

0.001916

0.002460

85,440

N/A

Unknown

Implemented Benchmark

wave3_3_curve_aware_pointwise_control_bw

te_wave3_3_curve_aware_pointwise_control_bw

curve_aware_harmonic_residual_offset_probe

0.001815

0.001925

0.002473

85,440

N/A

Unknown

Implemented Benchmark

phase3_pinn_c3_nonlinear_compliance_soft_bw

te_phase3_pinn_c3_nonlinear_compliance_soft_bw__polished_setpoints

quasi_static_compliance_pinn

0.002038

0.001926

0.002441

7,212

N/A

Unknown

Implemented Benchmark

wave4_2_gaussian_nll_bw

te_wave4_2_gaussian_nll_bw

curve_aware_harmonic_residual_offset_probe

0.001778

0.001927

0.002482

85,632

N/A

Unknown

Implemented Benchmark

phase2_pinn_h3_oscillator_periodic_bauer_anchor_bw

te_phase2_pinn_h3_oscillator_periodic_bauer_anchor_bw__polished_setpoints

harmonic_kinematic_pinn

0.002087

0.001931

0.002469

16,570

N/A

Unknown

Implemented Benchmark

phase2_pinn_h2_oscillator_periodic_closure_bw

te_phase2_pinn_h2_oscillator_periodic_closure_bw__polished_setpoints

harmonic_kinematic_pinn

0.002018

0.001966

0.002545

16,570

N/A

Unknown

Implemented Benchmark

wave4_1_smooth_l1_robust_loss_bw

te_wave4_1_smooth_l1_robust_loss_bw

curve_aware_harmonic_residual_offset_probe

0.001851

0.001968

0.002515

85,440

N/A

Unknown

Implemented Benchmark

wave52b_offset_harmonic_guided_pointwise_control_bw

te_wave52b_offset_harmonic_guided_pointwise_control_bw

wave52b_offset_harmonic_guided

0.002591

0.001979

0.002587

22,593

0.30 MB

Medium

Implemented Benchmark

periodic_temporal_convolution_bw

te_periodic_temporal_convolution_bw__polished_actual_values

periodic_temporal_convolution

0.001866

0.002001

0.003009

158,529

N/A

Unknown

Implemented Benchmark

wave52b_offset_harmonic_guided_offset_head_bw

te_wave52b_offset_harmonic_guided_offset_head_bw

wave52b_offset_harmonic_guided

0.002597

0.002008

0.002632

22,593

0.30 MB

Medium

Implemented Benchmark

wave52b_offset_harmonic_guided_offset_centered_shape_bw

te_wave52b_offset_harmonic_guided_offset_centered_shape_bw

wave52b_offset_harmonic_guided

0.002604

0.002012

0.002626

22,593

0.30 MB

Medium

Implemented Benchmark

residual_harmonic_gru_sequence_dense240_bw

te_residual_harmonic_gru_sequence_dense240_bw__polished_actual_values

residual_harmonic_gru_sequence

0.001942

0.002049

0.003081

151,522

N/A

Unknown

Implemented Benchmark

wave3_3_full_curve_composite_bw

te_wave3_3_full_curve_composite_bw

curve_aware_harmonic_residual_offset_probe

0.001920

0.002067

0.002638

85,440

N/A

Unknown

Implemented Benchmark

residual_harmonic_gru_sequence_dense360_bw

te_residual_harmonic_gru_sequence_dense360_bw__polished_actual_values

residual_harmonic_gru_sequence

0.001960

0.002071

0.003106

151,762

N/A

Unknown

Implemented Benchmark

harmonic_regression_bw

te_harmonic_regression_bw__polished_actual_values

harmonic_regression

0.001826

0.002076

0.003150

150

N/A

Unknown

Implemented Benchmark

residual_harmonic_gru_sequence_sparse_rcim_bw

te_residual_harmonic_gru_sequence_sparse_rcim_bw

residual_harmonic_gru_sequence

0.001955

0.002083

0.002664

150,676

N/A

Unknown

Implemented Benchmark

residual_harmonic_lstm_sequence_dense360_bw

te_residual_harmonic_lstm_sequence_dense360_bw

residual_harmonic_lstm_sequence

0.002007

0.002097

0.002693

201,554

N/A

Unknown

Implemented Benchmark

wave5_1_harmonic_prior_pointwise_control_bw

te_wave5_1_harmonic_prior_pointwise_control_bw

wave3_harmonic_prior_residual

0.001893

0.002105

0.002680

7,168

N/A

Unknown

Implemented Benchmark

residual_harmonic_lstm_sequence_sparse_rcim_bw

te_residual_harmonic_lstm_sequence_sparse_rcim_bw

residual_harmonic_lstm_sequence

0.001994

0.002108

0.002694

200,852

N/A

Unknown

Implemented Benchmark

residual_harmonic_lstm_sequence_dense240_bw

te_residual_harmonic_lstm_sequence_dense240_bw__polished_actual_values

residual_harmonic_lstm_sequence

0.001985

0.002116

0.003149

201,826

N/A

Unknown

Implemented Benchmark

wave5_1_harmonic_prior_smooth_l1_structured_bw

te_wave5_1_harmonic_prior_smooth_l1_structured_bw

wave3_harmonic_prior_residual

0.001921

0.002178

0.002776

7,168

N/A

Unknown

Implemented Benchmark

wave3_1_sequential_residual_offset_probe_bw

te_wave3_1_sequential_residual_offset_probe_bw

sequential_residual_offset_probe

0.002147

0.002225

0.002871

92,418

N/A

Unknown

Implemented Benchmark

gru_sequence_bw

te_gru_sequence_bw

gru_sequence

0.002119

0.002230

0.002860

150,657

N/A

Unknown

Implemented Benchmark

lstm_sequence_bw

te_lstm_sequence_bw

lstm_sequence

0.002151

0.002240

0.002892

200,833

N/A

Unknown

Implemented Benchmark

wave3_2_clean_sequential_residual_offset_bw

te_wave3_2_clean_sequential_residual_offset_bw

sequential_residual_offset_probe

0.002150

0.002242

0.002885

92,418

N/A

Unknown

Implemented Benchmark

wave4_4_gru_latent_offset_residual_bw

te_wave4_4_gru_latent_offset_residual_bw

latent_state_hysteresis_probe

0.002191

0.002260

0.002915

124,899

N/A

Unknown

Implemented Benchmark

temporal_convolution_bw

te_temporal_convolution_bw__polished_actual_values

temporal_convolution

0.002198

0.002303

0.003366

147,009

N/A

Unknown

Implemented Benchmark

wave4_4_causal_tcn_latent_offset_residual_bw

te_wave4_4_causal_tcn_latent_offset_residual_bw

latent_state_hysteresis_probe

0.002204

0.002309

0.002974

97,155

N/A

Unknown

Implemented Benchmark

phase3_pinn_c4_hard_elastic_offset_bw

te_phase3_pinn_c4_hard_elastic_offset_bw__polished_setpoints

quasi_static_compliance_pinn

0.002758

0.002350

0.002859

5,611

N/A

Unknown

Implemented Benchmark

track2h_mixture_density_heads_mdn_k2_bw

te_track2h_mdn_k2_bw

curve_aware_harmonic_residual_offset_probe

0.002914

0.002658

0.003198

86,802

1.01 MB

Medium

Implemented Benchmark

track2h_mixture_density_heads_mdn_k3_bw

te_track2h_mdn_k3_bw

curve_aware_harmonic_residual_offset_probe

0.002775

0.002721

0.003250

87,435

1.02 MB

Medium

Implemented Benchmark

track2h_quantile_probabilistic_quantile_p10_p50_p90_bw

te_track2h_quantile_p10_p50_p90_bw

curve_aware_harmonic_residual_offset_probe

0.003436

0.002927

0.003519

86,169

1.01 MB

Medium

Implemented Benchmark

track2h_quantile_probabilistic_gaussian_nll_bw

te_track2h_gaussian_nll_bw

curve_aware_harmonic_residual_offset_probe

0.003298

0.002998

0.003608

85,958

1.00 MB

Medium

Implemented Benchmark

track2h_dispersion_aware_smooth_l1_robust_bw

te_track2h_smooth_l1_robust_bw

curve_aware_harmonic_residual_offset_probe

0.003372

0.003074

0.003662

85,747

1.00 MB

Medium

Implemented Benchmark

track2f_bis_harmonic_residual_offset_bw

te_track2f_bis_harmonic_residual_offset_bw

harmonic_residual_offset_probe

0.003555

0.003336

0.003935

85,747

1.00 MB

Very Low

Implemented Benchmark

wave3_harmonic_prior_residual_pointwise_control_bw

te_wave3_harmonic_prior_residual_pointwise_control_bw

wave3_harmonic_prior_residual

0.003634

0.003363

0.003902

7,283

0.11 MB

Low

Implemented Benchmark

track2h_dispersion_aware_mae_robust_bw

te_track2h_mae_robust_bw

curve_aware_harmonic_residual_offset_probe

0.003579

0.003430

0.004029

85,747

1.00 MB

Medium

Implemented Benchmark

track2g_curve_aware_harmonic_residual_offset_pointwise_control_bw

te_track2g_curve_aware_pointwise_control_bw

curve_aware_harmonic_residual_offset_probe

0.003749

0.003430

0.003945

85,747

1.00 MB

Low

Implemented Benchmark

wave3_harmonic_prior_residual_smooth_l1_structured_bw

te_wave3_harmonic_prior_residual_smooth_l1_structured_bw

wave3_harmonic_prior_residual

0.003644

0.003431

0.003953

7,283

0.11 MB

Low

Implemented Benchmark

residual_harmonic_lstm_sequence_bw_sparse_rcim

te_residual_harmonic_lstm_sequence_remote_Bw_sparse_rcim

residual_harmonic_lstm_sequence

0.003764

0.003440

0.004030

201,364

2.32 MB

Low

Implemented Benchmark

track2g_curve_aware_harmonic_residual_offset_raw_centered_shape_bw

te_track2g_curve_aware_raw_centered_shape_bw

curve_aware_harmonic_residual_offset_probe

0.003740

0.003465

0.003998

85,747

1.00 MB

Medium

Implemented Benchmark

residual_harmonic_gru_sequence_bw_dense360

te_residual_harmonic_gru_sequence_remote_Bw_dense360

residual_harmonic_gru_sequence

0.003773

0.003468

0.004050

151,762

1.75 MB

Low

Implemented Benchmark

track2g_curve_aware_harmonic_residual_offset_raw_offset_bw

te_track2g_curve_aware_raw_offset_bw

curve_aware_harmonic_residual_offset_probe

0.003751

0.003471

0.003992

85,747

1.00 MB

Medium

Implemented Benchmark

track2h_dispersion_aware_log_cosh_robust_bw

te_track2h_log_cosh_robust_bw

curve_aware_harmonic_residual_offset_probe

0.003774

0.003481

0.004029

85,747

1.00 MB

Low

Implemented Benchmark

residual_harmonic_gru_sequence_bw_dense240

te_residual_harmonic_gru_sequence_remote_Bw_dense240

residual_harmonic_gru_sequence

0.003585

0.003492

0.004074

151,522

1.75 MB

Medium

Implemented Benchmark

residual_harmonic_gru_sequence_bw_sparse_rcim

te_residual_harmonic_gru_sequence_remote_Bw_sparse_rcim

residual_harmonic_gru_sequence

0.003833

0.003502

0.004061

151,060

1.75 MB

Low

Implemented Benchmark

track2g_curve_aware_harmonic_residual_offset_full_curve_composite_bw

te_track2g_curve_aware_full_curve_composite_bw

curve_aware_harmonic_residual_offset_probe

0.003803

0.003511

0.004113

85,747

1.00 MB

Medium

Implemented Benchmark

track2f_bis_clean_sequential_residual_offset_bw

te_track2f_bis_clean_residual_offset_bw

sequential_residual_offset_probe

0.003820

0.003540

0.004203

92,802

1.09 MB

Low

Implemented Benchmark

track2h_latent_state_hysteresis_gru_offset_residual_bw

te_track2h_l_gru_offset_residual_bw

latent_state_hysteresis_probe

0.003837

0.003545

0.004175

125,475

1.48 MB

Low

Implemented Benchmark

residual_harmonic_lstm_sequence_bw_dense360

te_residual_harmonic_lstm_sequence_remote_Bw_dense360

residual_harmonic_lstm_sequence

0.003729

0.003556

0.004125

202,066

2.33 MB

Medium

Implemented Benchmark

residual_harmonic_lstm_sequence_bw_dense240

te_residual_harmonic_lstm_sequence_remote_Bw_dense240

residual_harmonic_lstm_sequence

0.003742

0.003605

0.004129

201,826

2.33 MB

Low

Implemented Benchmark

track2h_latent_state_hysteresis_causal_tcn_offset_residual_bw

te_track2h_l_causal_tcn_offset_residual_bw

latent_state_hysteresis_probe

0.003840

0.003630

0.004312

97,923

1.17 MB

Low

Implemented Benchmark

sequential_residual_offset_probe_bw

te_sequential_residual_offset_probe_remote_bw

sequential_residual_offset_probe

0.003840

0.003638

0.004280

92,802

1.09 MB

Low

Implemented Benchmark

Cross-Family Interpretation

  • Current program-registry winner: te_periodic_gru_sequence_bw from family periodic_gru_sequence_bw.

  • Strongest current neural family: periodic_gru_sequence_bw.

  • Current plain-MLP comparison anchor: te_feedforward_trial.

  • Predictive quality and deployment suitability must stay separate: the best leaderboard entry is not automatically the best TwinCAT/PLC candidate.

  • Large tree artifacts should be treated cautiously even when tree-based accuracy remains strong, because model weight and memory footprint can dominate deployment feasibility.

Paper Reference Benchmark

The repository benchmark paper is reference/RCIM_ML-compensation.pdf. At the current repository state, the comparison is explicitly offline-only. A real paper-equivalent comparison still requires repository-owned online compensation tests.

Extracted Paper Targets

  • Paper dataset size: 1026 operating-condition samples.

  • Paper input axes: input speed, applied torque, oil temperature.

  • Offline prediction target: TE-curve mean percentage error at or below 4.7% on unseen validation scenarios.

  • Online robot compensation target: at least 83.6% TE RMS reduction.

  • Online cycloidal compensation target: at least 94.0% TE RMS reduction and 91.7% TE max reduction.

  • Paper compensation harmonics baseline: 0, 1, 39 with additional checks on 40, 78.

Paper Vs Repository

Comparison Item

Paper Reference

Repository Status

Current Verdict

Offline model-selection direction

Boosting/tree-heavy deployed harmonic predictors

Current winner te_periodic_gru_sequence_bw from family periodic_gru_sequence_bw with model type periodic_gru_sequence

not_aligned

Strongest neural branch role

Neural models are evaluated, but not the primary deployed winners

Strongest repository neural family is periodic_gru_sequence_bw and still trails the tree winner

aligned

RCIM Model-Bank Reproduction canonical closure rule

Paper Tables 3-6 replicated per target and per harmonic

Exact-paper report currently shows 0/0 harmonics fully closed, 0/0 partially closed, 0/0 still open

not_yet_met

Supporting harmonic-wise TE metric

Mean percentage error over full TE curves

Latest harmonic-wise validation reports 11.212% mean percentage error on held-out curves using harmonics 0, 1, 3, 39, 40, 78, 81, 156, 162, 240

supporting_only_not_yet_met

Online robot-profile compensation

TE RMS reduction 83.6%

No repository-owned online compensation result yet

not_yet_comparable

Online cycloidal-profile compensation

TE RMS reduction 94.0%, TE max reduction 91.7%

No repository-owned online compensation result yet

not_yet_comparable

Table 9-style end-to-end benchmark

PLC-integrated motion-profile compensation benchmark

Missing in the repository at the current state

not_yet_comparable

RCIM Model-Bank Reproduction Canonical Status

  • Latest exact-paper validation summary: N/A

  • Table 3 amplitude RMSE: 0/0 harmonics at or below the paper target

  • Table 4 phase MAE: 0/0 harmonics at or below the paper target

  • Table 5 phase RMSE: 0/0 harmonics at or below the paper target

  • Target-level expected-family direction: 0/0

  • Harmonic-level Table 6 closure: 0/0 fully matched, 0/0 partially matched, 0/0 still open

  • Highest-priority open harmonics: N/A

Latest Harmonic-Wise Validation Support

  • Latest harmonic-wise validation summary: output/validation_checks/paper_reimplementation_rcim_harmonic_wise/forward/family_exploration/rf/2026-04-13-16-00-30__track1_rf_h039_h162240_bridge_control_campaign_run/validation_summary.yaml

  • Harmonic-wise test mean percentage error: 11.212%

  • Target A status from the latest harmonic-wise run: not_yet_met

Online Compensation Tracking Placeholder

  • Repository online compensation status: not yet available.

  • When online compensation tests are implemented, update this master summary with TE RMS, TE max, and reduction percentages for both robot and cycloidal motion profiles.

  • Until those tests exist, present the paper comparison as offline-only rather than end-to-end equivalent.

Gap Summary

  • RCIM Model-Bank Reproduction remains open primarily because the canonical Tables 3-6 are not yet fully matched.

  • Offline benchmark scope remains partially comparable rather than like-for-like.

  • Not yet aligned: the current repository winner is not tree-based, while the paper deployment path is dominated by boosting/tree models.

  • Neural models remain secondary in the repository (periodic_gru_sequence_bw), which is also consistent with the paper not promoting a plain neural winner for deployment.

  • End-to-end paper comparison remains not yet comparable until repository-owned online compensation tests exist.

Family-By-Family Result Breakdowns

  • For multi-scope waves, family breakdowns are grouped by canonical reporting scope before the per-family ranking tables.

Global Models

complex_harmonic_coefficient_residuals

  • Best run: N/A

  • Best test MAE: N/A

  • Completed tracked runs: 22

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

2026-07-28-16-17-08__stage5_c01

unknown

N/A

N/A

N/A

N/A

N/A

N/A

Unknown

Unknown

standalone_or_unknown

2

2026-07-28-16-17-08__stage5_c02

unknown

N/A

N/A

N/A

N/A

N/A

N/A

Unknown

Unknown

standalone_or_unknown

3

2026-07-28-16-17-09__stage5_c03

unknown

N/A

N/A

N/A

N/A

N/A

N/A

Unknown

Unknown

standalone_or_unknown

4

2026-07-28-16-17-09__stage5_c04

unknown

N/A

N/A

N/A

N/A

N/A

N/A

Unknown

Unknown

standalone_or_unknown

5

2026-07-28-16-17-10__stage5_c05

unknown

N/A

N/A

N/A

N/A

N/A

N/A

Unknown

Unknown

standalone_or_unknown

6

2026-07-28-16-17-10__stage5_c06

unknown

N/A

N/A

N/A

N/A

N/A

N/A

Unknown

Unknown

standalone_or_unknown

7

2026-07-28-16-17-11__stage5_c07

unknown

N/A

N/A

N/A

N/A

N/A

N/A

Unknown

Unknown

standalone_or_unknown

8

2026-07-28-16-17-11__stage5_c08

unknown

N/A

N/A

N/A

N/A

N/A

N/A

Unknown

Unknown

standalone_or_unknown

9

2026-07-28-16-17-11__stage5_h01

unknown

N/A

N/A

N/A

N/A

N/A

N/A

Unknown

Unknown

standalone_or_unknown

10

2026-07-28-16-17-12__stage5_h02

unknown

N/A

N/A

N/A

N/A

N/A

N/A

Unknown

Unknown

standalone_or_unknown

11

2026-07-28-16-17-12__stage5_h03

unknown

N/A

N/A

N/A

N/A

N/A

N/A

Unknown

Unknown

standalone_or_unknown

12

2026-07-28-16-17-13__stage5_h04

unknown

N/A

N/A

N/A

N/A

N/A

N/A

Unknown

Unknown

standalone_or_unknown

13

2026-07-28-16-17-13__stage5_h05

unknown

N/A

N/A

N/A

N/A

N/A

N/A

Unknown

Unknown

standalone_or_unknown

14

2026-07-28-16-17-14__stage5_h06

unknown

N/A

N/A

N/A

N/A

N/A

N/A

Unknown

Unknown

standalone_or_unknown

15

2026-07-28-16-17-15__stage5_h07

unknown

N/A

N/A

N/A

N/A

N/A

N/A

Unknown

Unknown

standalone_or_unknown

16

2026-07-28-16-17-15__stage5_h08

unknown

N/A

N/A

N/A

N/A

N/A

N/A

Unknown

Unknown

standalone_or_unknown

17

2026-07-28-16-17-16__stage5_a01

unknown

N/A

N/A

N/A

N/A

N/A

N/A

Unknown

Unknown

standalone_or_unknown

18

2026-07-28-16-17-16__stage5_a02

unknown

N/A

N/A

N/A

N/A

N/A

N/A

Unknown

Unknown

standalone_or_unknown

19

2026-07-28-16-19-55__stage5_c04__seed_271828

unknown

N/A

N/A

N/A

N/A

N/A

N/A

Unknown

Unknown

standalone_or_unknown

20

2026-07-28-16-19-56__stage5_c04__seed_161803

unknown

N/A

N/A

N/A

N/A

N/A

N/A

Unknown

Unknown

standalone_or_unknown

21

2026-07-28-16-19-56__stage5_h04__seed_161803

unknown

N/A

N/A

N/A

N/A

N/A

N/A

Unknown

Unknown

standalone_or_unknown

22

2026-07-28-16-19-56__stage5_h04__seed_271828

unknown

N/A

N/A

N/A

N/A

N/A

N/A

Unknown

Unknown

standalone_or_unknown

feedforward_recovery_micro

  • Best run: te_feedforward_optuna_recovery_micro_global_optuna_t0000

  • Best test MAE: 0.004164

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_feedforward_optuna_recovery_micro_global_optuna_t0000

feedforward

0.004164

0.005109

0.004266

109,953

N/A

1.28 MB

High

Unknown

standalone_or_unknown

feedforward_recovery_probe_dense

  • Best run: te_feedforward_optuna_recovery_probe_dense_global_optuna_t0000

  • Best test MAE: 0.004602

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_feedforward_optuna_recovery_probe_dense_global_optuna_t0000

feedforward

0.004602

0.005262

0.004257

109,953

N/A

1.28 MB

High

Unknown

standalone_or_unknown

gru_sequence

  • Best run: te_gru_sequence_remote_global

  • Best test MAE: 0.003591

  • Completed tracked runs: 16

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_gru_sequence_global

gru_sequence

0.002229

0.002872

0.002126

150,657

56m 28s

1.74 MB

Very High

High

polished_dataset_full_wave_retraining_2026_06_22

2

te_gru_sequence_bw

gru_sequence

0.002230

0.002860

0.002119

150,657

33m 29s

1.74 MB

Very High

Medium

polished_dataset_full_wave_retraining_2026_06_22

3

te_gru_sequence_fw

gru_sequence

0.002247

0.002882

0.002130

150,657

29m 54s

1.74 MB

Very High

Medium

polished_dataset_full_wave_retraining_2026_06_22

4

te_gru_sequence_bw__polished_actual_values

gru_sequence

0.002258

0.003322

0.002144

151,041

35m 34s

1.74 MB

Very High

Medium

dataset_input_mode_retraining__gru_sequence__polished_actual_values

5

te_gru_sequence_fw

gru_sequence

0.002260

0.002905

0.002156

150,657

35m 12s

1.74 MB

Very High

Medium

polished_dataset_full_wave_retraining_2026_06_22

6

te_gru_sequence_bw

gru_sequence

0.002271

0.002908

0.002147

150,657

42m 04s

1.74 MB

Very High

High

polished_dataset_full_wave_retraining_2026_06_22

7

te_gru_sequence_fw__polished_actual_values

gru_sequence

0.002274

0.003341

0.002165

151,041

26m 08s

1.74 MB

Very High

Medium

dataset_input_mode_retraining__gru_sequence__polished_actual_values

8

te_gru_sequence_global__polished_actual_values

gru_sequence

0.002292

0.003347

0.002172

151,041

27m 43s

1.74 MB

Very High

Medium

dataset_input_mode_retraining__gru_sequence__polished_actual_values

9

te_gru_sequence_global

gru_sequence

0.002311

0.002954

0.002205

150,657

15m 38s

1.74 MB

Very High

Medium

polished_dataset_full_wave_retraining_2026_06_22

10

te_gru_sequence_fw__polished_setpoints

gru_sequence

0.002431

0.003811

0.002162

151,041

29m 18s

1.74 MB

Very High

Medium

dataset_input_mode_retraining__gru_sequence__polished_setpoints

11

te_gru_sequence_bw__polished_setpoints

gru_sequence

0.002467

0.003849

0.002183

151,041

16m 24s

1.74 MB

Very High

Medium

dataset_input_mode_retraining__gru_sequence__polished_setpoints

12

te_gru_sequence_global__polished_setpoints

gru_sequence

0.002474

0.003853

0.002174

151,041

20m 34s

1.74 MB

Very High

Medium

dataset_input_mode_retraining__gru_sequence__polished_setpoints

13

te_gru_sequence_bw__simplified_setpoints

gru_sequence

0.003510

0.004341

0.003661

151,041

15m 40s

1.74 MB

Very High

Medium

dataset_input_mode_retraining__gru_sequence__simplified_setpoints

14

te_gru_sequence_fw__simplified_setpoints

gru_sequence

0.003584

0.004393

0.003759

151,041

7m 50s

1.74 MB

Very High

Low

dataset_input_mode_retraining__gru_sequence__simplified_setpoints

15

te_gru_sequence_global__simplified_setpoints

gru_sequence

0.003590

0.004451

0.003777

151,041

6m 52s

1.74 MB

Very High

Low

dataset_input_mode_retraining__gru_sequence__simplified_setpoints

16

te_gru_sequence_remote_global

gru_sequence

0.003591

0.004110

0.003707

151,041

8m 44s

1.74 MB

Very High

Low

wave2_temporal_model_entry_campaign_2026_05_24_11_01_15

periodic_lstm_sequence

  • Best run: te_periodic_lstm_sequence_remote_global

  • Best test MAE: 0.002682

  • Completed tracked runs: 16

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_periodic_lstm_sequence_global

periodic_lstm_sequence

0.001187

0.001505

0.001185

210,049

1h 27m 51s

2.42 MB

Very High

High

polished_dataset_full_wave_retraining_2026_06_22

2

te_periodic_lstm_sequence_bw

periodic_lstm_sequence

0.001226

0.001558

0.001230

210,049

46m 38s

2.42 MB

Very High

High

polished_dataset_full_wave_retraining_2026_06_22

3

te_periodic_lstm_sequence_bw

periodic_lstm_sequence

0.001338

0.001719

0.001231

210,049

1h 14m 57s

2.42 MB

Very High

High

polished_dataset_full_wave_retraining_2026_06_22

4

te_periodic_lstm_sequence_fw

periodic_lstm_sequence

0.001547

0.001976

0.001495

210,049

59m 17s

2.42 MB

Very High

High

polished_dataset_full_wave_retraining_2026_06_22

5

te_periodic_lstm_sequence_fw

periodic_lstm_sequence

0.001555

0.001983

0.001513

210,049

29m 41s

2.42 MB

Very High

Medium

polished_dataset_full_wave_retraining_2026_06_22

6

te_periodic_lstm_sequence_global__polished_setpoints

periodic_lstm_sequence

0.001561

0.002411

0.001371

210,561

39m 46s

2.43 MB

Very High

Medium

dataset_input_mode_retraining__periodic_lstm_sequence__polished_setpoints

7

te_periodic_lstm_sequence_global

periodic_lstm_sequence

0.001601

0.002029

0.001536

210,049

30m 40s

2.42 MB

Very High

Medium

polished_dataset_full_wave_retraining_2026_06_22

8

te_periodic_lstm_sequence_bw__polished_setpoints

periodic_lstm_sequence

0.001641

0.002567

0.001389

210,561

37m 47s

2.43 MB

Very High

Medium

dataset_input_mode_retraining__periodic_lstm_sequence__polished_setpoints

9

te_periodic_lstm_sequence_global__polished_actual_values

periodic_lstm_sequence

0.002121

0.003300

0.001917

210,561

18m 34s

2.43 MB

Very High

Medium

dataset_input_mode_retraining__periodic_lstm_sequence__polished_actual_values

10

te_periodic_lstm_sequence_fw__polished_setpoints

periodic_lstm_sequence

0.002176

0.003521

0.001867

210,561

13m 51s

2.43 MB

Very High

Low

dataset_input_mode_retraining__periodic_lstm_sequence__polished_setpoints

11

te_periodic_lstm_sequence_bw__polished_actual_values

periodic_lstm_sequence

0.002196

0.003476

0.001979

210,561

12m 12s

2.43 MB

Very High

Low

dataset_input_mode_retraining__periodic_lstm_sequence__polished_actual_values

12

te_periodic_lstm_sequence_fw__polished_actual_values

periodic_lstm_sequence

0.002211

0.003527

0.001966

210,561

10m 24s

2.43 MB

Very High

Low

dataset_input_mode_retraining__periodic_lstm_sequence__polished_actual_values

13

te_periodic_lstm_sequence_remote_global

periodic_lstm_sequence

0.002682

0.002969

0.002526

210,561

1h 11m 12s

2.43 MB

Very High

High

wave2b_harmonic_temporal_hybrid_campaign_2026_05_25

14

te_periodic_lstm_sequence_bw__simplified_setpoints

periodic_lstm_sequence

0.003349

0.004076

0.003524

210,561

10m 59s

2.43 MB

Very High

Low

dataset_input_mode_retraining__periodic_lstm_sequence__simplified_setpoints

15

te_periodic_lstm_sequence_global__simplified_setpoints

periodic_lstm_sequence

0.003369

0.004027

0.003533

210,561

9m 05s

2.43 MB

Very High

Low

dataset_input_mode_retraining__periodic_lstm_sequence__simplified_setpoints

16

te_periodic_lstm_sequence_fw__simplified_setpoints

periodic_lstm_sequence

0.003390

0.004150

0.003483

210,561

12m 42s

2.43 MB

Very High

Low

dataset_input_mode_retraining__periodic_lstm_sequence__simplified_setpoints

periodic_mlp_harmonic

  • Best run: N/A

  • Best test MAE: N/A

  • Completed tracked runs: 15

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_periodic_mlp_harmonic_global

periodic_mlp

0.001264

0.001737

0.001196

28,417

42m 19s

0.35 MB

Medium

High

polished_dataset_full_wave_retraining_2026_06_22

2

te_periodic_mlp_harmonic_global__polished_setpoints

periodic_mlp

0.001270

0.002217

0.001137

28,545

29m 32s

0.35 MB

Medium

Medium

dataset_input_mode_retraining__periodic_mlp_harmonic__polished_setpoints

3

te_periodic_mlp_harmonic_bw

periodic_mlp

0.001279

0.001719

0.001103

28,417

39m 46s

0.35 MB

Medium

Medium

polished_dataset_full_wave_retraining_2026_06_22

4

te_periodic_mlp_harmonic_bw__polished_actual_values

periodic_mlp

0.001303

0.002220

0.001171

28,545

25m 00s

0.35 MB

Medium

Medium

dataset_input_mode_retraining__periodic_mlp_harmonic__polished_actual_values

5

te_periodic_mlp_harmonic_global

periodic_mlp

0.001309

0.001794

0.001265

28,417

15m 47s

0.35 MB

Medium

Medium

polished_dataset_full_wave_retraining_2026_06_22

6

te_periodic_mlp_harmonic_fw

periodic_mlp

0.001326

0.001780

0.001144

28,417

38m 01s

0.35 MB

Medium

Medium

polished_dataset_full_wave_retraining_2026_06_22

7

te_periodic_mlp_harmonic_bw

periodic_mlp

0.001342

0.001807

0.001188

28,417

20m 48s

0.35 MB

Medium

Medium

polished_dataset_full_wave_retraining_2026_06_22

8

te_periodic_mlp_harmonic_fw

periodic_mlp

0.001360

0.001845

0.001209

28,417

17m 10s

0.35 MB

Medium

Medium

polished_dataset_full_wave_retraining_2026_06_22

9

te_periodic_mlp_harmonic_fw__polished_setpoints

periodic_mlp

0.001442

0.002411

0.001208

28,545

13m 32s

0.35 MB

Medium

Low

dataset_input_mode_retraining__periodic_mlp_harmonic__polished_setpoints

10

te_periodic_mlp_harmonic_bw__polished_setpoints

periodic_mlp

0.001442

0.002380

0.001219

28,545

13m 51s

0.35 MB

Medium

Low

dataset_input_mode_retraining__periodic_mlp_harmonic__polished_setpoints

11

te_periodic_mlp_harmonic_global__polished_actual_values

periodic_mlp

0.001445

0.002405

0.001238

28,545

18m 11s

0.35 MB

Medium

Medium

dataset_input_mode_retraining__periodic_mlp_harmonic__polished_actual_values

12

te_periodic_mlp_harmonic_fw__polished_actual_values

periodic_mlp

0.001590

0.002522

0.001311

28,545

13m 24s

0.35 MB

Medium

Low

dataset_input_mode_retraining__periodic_mlp_harmonic__polished_actual_values

13

te_periodic_mlp_harmonic_fw__simplified_setpoints

periodic_mlp

0.003065

0.003709

0.002803

28,545

8m 09s

0.35 MB

Medium

Low

dataset_input_mode_retraining__periodic_mlp_harmonic__simplified_setpoints

14

te_periodic_mlp_harmonic_global__simplified_setpoints

periodic_mlp

0.003293

0.003865

0.002847

28,545

8m 22s

0.35 MB

Medium

Low

dataset_input_mode_retraining__periodic_mlp_harmonic__simplified_setpoints

15

te_periodic_mlp_harmonic_bw__simplified_setpoints

periodic_mlp

0.003377

0.004054

0.002803

28,545

7m 49s

0.35 MB

Medium

Low

dataset_input_mode_retraining__periodic_mlp_harmonic__simplified_setpoints

periodic_temporal_convolution

  • Best run: te_periodic_temporal_convolution_sequence_remote_global

  • Best test MAE: 0.003508

  • Completed tracked runs: 16

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_periodic_temporal_convolution_global__polished_actual_values

periodic_temporal_convolution

0.001999

0.002971

0.001908

158,529

25m 34s

1.83 MB

Very High

Medium

dataset_input_mode_retraining__periodic_temporal_convolution__polished_actual_values

2

te_periodic_temporal_convolution_bw__polished_actual_values

periodic_temporal_convolution

0.002001

0.003009

0.001866

158,529

22m 45s

1.83 MB

Very High

Medium

dataset_input_mode_retraining__periodic_temporal_convolution__polished_actual_values

3

te_periodic_temporal_convolution_fw__polished_actual_values

periodic_temporal_convolution

0.002077

0.003080

0.001939

158,529

21m 42s

1.83 MB

Very High

Medium

dataset_input_mode_retraining__periodic_temporal_convolution__polished_actual_values

4

te_periodic_temporal_convolution_bw

periodic_temporal_convolution

0.002174

0.002734

0.002077

157,889

15m 34s

1.82 MB

Very High

Medium

polished_dataset_full_wave_retraining_2026_06_22

5

te_periodic_temporal_convolution_fw

periodic_temporal_convolution

0.002178

0.002730

0.002065

157,889

31m 41s

1.82 MB

Very High

Medium

polished_dataset_full_wave_retraining_2026_06_22

6

te_periodic_temporal_convolution_global__polished_setpoints

periodic_temporal_convolution

0.002236

0.003541

0.001961

158,529

14m 24s

1.83 MB

Very High

Low

dataset_input_mode_retraining__periodic_temporal_convolution__polished_setpoints

7

te_periodic_temporal_convolution_bw

periodic_temporal_convolution

0.002238

0.002791

0.002161

157,889

27m 06s

1.82 MB

Very High

Medium

polished_dataset_full_wave_retraining_2026_06_22

8

te_periodic_temporal_convolution_fw__polished_setpoints

periodic_temporal_convolution

0.002252

0.003578

0.001945

158,529

12m 56s

1.83 MB

Very High

Low

dataset_input_mode_retraining__periodic_temporal_convolution__polished_setpoints

9

te_periodic_temporal_convolution_bw__polished_setpoints

periodic_temporal_convolution

0.002264

0.003555

0.001969

158,529

13m 01s

1.83 MB

Very High

Low

dataset_input_mode_retraining__periodic_temporal_convolution__polished_setpoints

10

te_periodic_temporal_convolution_fw

periodic_temporal_convolution

0.002280

0.002848

0.002209

157,889

15m 25s

1.82 MB

Very High

Medium

polished_dataset_full_wave_retraining_2026_06_22

11

te_periodic_temporal_convolution_global

periodic_temporal_convolution

0.002302

0.002863

0.002160

157,889

14m 09s

1.82 MB

Very High

Low

polished_dataset_full_wave_retraining_2026_06_22

12

te_periodic_temporal_convolution_global

periodic_temporal_convolution

0.002319

0.002900

0.002202

157,889

22m 15s

1.82 MB

Very High

Medium

polished_dataset_full_wave_retraining_2026_06_22

13

te_periodic_temporal_convolution_bw__simplified_setpoints

periodic_temporal_convolution

0.003388

0.004127

0.003553

158,529

9m 43s

1.83 MB

Very High

Low

dataset_input_mode_retraining__periodic_temporal_convolution__simplified_setpoints

14

te_periodic_temporal_convolution_global__simplified_setpoints

periodic_temporal_convolution

0.003436

0.004106

0.003600

158,529

9m 38s

1.83 MB

Very High

Low

dataset_input_mode_retraining__periodic_temporal_convolution__simplified_setpoints

15

te_periodic_temporal_convolution_fw__simplified_setpoints

periodic_temporal_convolution

0.003474

0.004188

0.003645

158,529

5m 56s

1.83 MB

Very High

Low

dataset_input_mode_retraining__periodic_temporal_convolution__simplified_setpoints

16

te_periodic_temporal_convolution_sequence_remote_global

periodic_temporal_convolution

0.003508

0.003929

0.003634

158,529

25m 37s

1.83 MB

Very High

Medium

wave2b_harmonic_temporal_hybrid_campaign_2026_05_25

residual_harmonic_lstm_sequence_sparse_rcim

  • Best run: te_residual_harmonic_lstm_sequence_remote_global_sparse_rcim

  • Best test MAE: 0.003368

  • Completed tracked runs: 13

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_residual_harmonic_lstm_sequence_sparse_rcim_global

residual_harmonic_lstm_sequence

0.002062

0.002651

0.001954

200,852

32m 00s

2.32 MB

Very High

Medium

polished_dataset_full_wave_retraining_2026_06_22

2

te_residual_harmonic_lstm_sequence_sparse_rcim_fw__polished_actual_values

residual_harmonic_lstm_sequence

0.002067

0.003129

0.001951

201,364

50m 38s

2.32 MB

Very High

High

dataset_input_mode_retraining__residual_harmonic_lstm_sequence_sparse_rcim__polished_actual_values

3

te_residual_harmonic_lstm_sequence_sparse_rcim_global__polished_actual_values

residual_harmonic_lstm_sequence

0.002097

0.003168

0.001960

201,364

52m 27s

2.32 MB

Very High

High

dataset_input_mode_retraining__residual_harmonic_lstm_sequence_sparse_rcim__polished_actual_values

4

te_residual_harmonic_lstm_sequence_sparse_rcim_bw

residual_harmonic_lstm_sequence

0.002108

0.002694

0.001994

200,852

20m 29s

2.32 MB

Very High

Medium

polished_dataset_full_wave_retraining_2026_06_22

5

te_residual_harmonic_lstm_sequence_sparse_rcim_fw

residual_harmonic_lstm_sequence

0.002121

0.002711

0.001971

200,852

24m 30s

2.32 MB

Very High

Medium

polished_dataset_full_wave_retraining_2026_06_22

6

te_residual_harmonic_lstm_sequence_sparse_rcim_bw__polished_setpoints

residual_harmonic_lstm_sequence

0.002325

0.003669

0.002045

201,364

22m 35s

2.32 MB

Very High

Medium

dataset_input_mode_retraining__residual_harmonic_lstm_sequence_sparse_rcim__polished_setpoints

7

te_residual_harmonic_lstm_sequence_sparse_rcim_global__polished_setpoints

residual_harmonic_lstm_sequence

0.002349

0.003726

0.002043

201,364

16m 24s

2.32 MB

Very High

Medium

dataset_input_mode_retraining__residual_harmonic_lstm_sequence_sparse_rcim__polished_setpoints

8

te_residual_harmonic_lstm_sequence_sparse_rcim_fw__polished_setpoints

residual_harmonic_lstm_sequence

0.002361

0.003733

0.002023

201,364

24m 55s

2.32 MB

Very High

Medium

dataset_input_mode_retraining__residual_harmonic_lstm_sequence_sparse_rcim__polished_setpoints

9

te_residual_harmonic_lstm_sequence_sparse_rcim_bw__polished_actual_values

residual_harmonic_lstm_sequence

0.002413

0.003764

0.002154

201,364

12m 50s

2.32 MB

Very High

Low

dataset_input_mode_retraining__residual_harmonic_lstm_sequence_sparse_rcim__polished_actual_values

10

te_residual_harmonic_lstm_sequence_remote_global_sparse_rcim

residual_harmonic_lstm_sequence

0.003368

0.003808

0.003632

201,364

9m 32s

2.32 MB

Very High

Low

wave2c_residual_harmonic_temporal_hybrid_campaign_2026_05_27

11

te_residual_harmonic_lstm_sequence_sparse_rcim_fw__simplified_setpoints

residual_harmonic_lstm_sequence

0.003372

0.004162

0.003678

201,364

14m 14s

2.32 MB

Very High

Low

dataset_input_mode_retraining__residual_harmonic_lstm_sequence_sparse_rcim__simplified_setpoints

12

te_residual_harmonic_lstm_sequence_sparse_rcim_global__simplified_setpoints

residual_harmonic_lstm_sequence

0.003400

0.004178

0.003618

201,364

16m 39s

2.32 MB

Very High

Medium

dataset_input_mode_retraining__residual_harmonic_lstm_sequence_sparse_rcim__simplified_setpoints

13

te_residual_harmonic_lstm_sequence_sparse_rcim_bw__simplified_setpoints

residual_harmonic_lstm_sequence

0.003449

0.004232

0.003654

201,364

13m 48s

2.32 MB

Very High

Low

dataset_input_mode_retraining__residual_harmonic_lstm_sequence_sparse_rcim__simplified_setpoints

residual_harmonic_mlp

  • Best run: te_residual_h12_deep_joint_wave1_global_optuna_t0006

  • Best test MAE: 0.003034

  • Completed tracked runs: 21

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_residual_harmonic_mlp_global

residual_harmonic_mlp

0.001710

0.002307

0.001621

26,138

22m 28s

0.32 MB

Medium

Medium

polished_dataset_full_wave_retraining_2026_06_22

2

te_residual_harmonic_mlp_bw

residual_harmonic_mlp

0.001712

0.002294

0.001609

26,138

40m 41s

0.32 MB

Medium

High

polished_dataset_full_wave_retraining_2026_06_22

3

te_residual_harmonic_mlp_bw__polished_setpoints

residual_harmonic_mlp

0.001725

0.002305

0.001626

26,266

26m 08s

0.32 MB

Medium

Medium

dataset_input_mode_retraining__residual_harmonic_mlp__polished_setpoints

4

te_residual_harmonic_mlp_global__polished_setpoints

residual_harmonic_mlp

0.001758

0.002348

0.001582

26,266

28m 05s

0.32 MB

Medium

Medium

dataset_input_mode_retraining__residual_harmonic_mlp__polished_setpoints

5

te_residual_harmonic_mlp_fw__polished_setpoints

residual_harmonic_mlp

0.001759

0.002336

0.001599

26,266

34m 12s

0.32 MB

Medium

Medium

dataset_input_mode_retraining__residual_harmonic_mlp__polished_setpoints

6

te_residual_harmonic_mlp_bw__polished_actual_values

residual_harmonic_mlp

0.001771

0.002344

0.001606

26,266

32m 26s

0.32 MB

Medium

Medium

dataset_input_mode_retraining__residual_harmonic_mlp__polished_actual_values

7

te_residual_harmonic_mlp_fw

residual_harmonic_mlp

0.001783

0.002349

0.001632

26,138

19m 27s

0.32 MB

Medium

Medium

polished_dataset_full_wave_retraining_2026_06_22

8

te_residual_harmonic_mlp_global__polished_actual_values

residual_harmonic_mlp

0.001795

0.002375

0.001603

26,266

30m 13s

0.32 MB

Medium

Medium

dataset_input_mode_retraining__residual_harmonic_mlp__polished_actual_values

9

te_residual_harmonic_mlp_bw

residual_harmonic_mlp

0.001799

0.002380

0.001637

26,138

16m 36s

0.32 MB

Medium

Medium

polished_dataset_full_wave_retraining_2026_06_22

10

te_residual_harmonic_mlp_fw

residual_harmonic_mlp

0.001808

0.002420

0.001647

26,138

24m 31s

0.32 MB

Medium

Medium

polished_dataset_full_wave_retraining_2026_06_22

11

te_residual_harmonic_mlp_fw__polished_actual_values

residual_harmonic_mlp

0.001816

0.002399

0.001639

26,266

25m 05s

0.32 MB

Medium

Medium

dataset_input_mode_retraining__residual_harmonic_mlp__polished_actual_values

12

te_residual_harmonic_mlp_global

residual_harmonic_mlp

0.001841

0.002433

0.001660

26,138

33m 07s

0.32 MB

Medium

Medium

polished_dataset_full_wave_retraining_2026_06_22

13

te_residual_h12_deep_joint_wave1_global_optuna_t0006

residual_harmonic_mlp

0.003034

0.003550

0.002895

26,266

N/A

0.32 MB

Medium

Unknown

standalone_or_unknown

14

te_residual_h12_deep_joint_wave1_global_optuna_t0010

residual_harmonic_mlp

0.003067

0.003568

0.002903

26,258

N/A

0.32 MB

Medium

Unknown

standalone_or_unknown

15

te_residual_h12_deep_joint_wave1

residual_harmonic_mlp

0.003152

0.003640

0.003024

26,266

N/A

0.32 MB

Medium

Unknown

standalone_or_unknown

16

te_residual_harmonic_dense240_tracking_global

residual_harmonic_mlp

0.003162

0.003598

0.002976

26,722

11m 07s

0.33 MB

Medium

Low

wave1_high_order_harmonic_tracking_campaign_2026_05_19_17_40_01

17

te_residual_harmonic_mlp_fw__simplified_setpoints

residual_harmonic_mlp

0.003218

0.003723

0.003064

26,266

15m 23s

0.32 MB

Medium

Medium

dataset_input_mode_retraining__residual_harmonic_mlp__simplified_setpoints

18

te_residual_harmonic_rcim_sparse_tracking_global

residual_harmonic_mlp

0.003378

0.003902

0.002969

26,260

8m 03s

0.32 MB

Medium

Low

wave1_high_order_harmonic_tracking_campaign_2026_05_19_17_40_01

19

te_residual_harmonic_mlp_bw__simplified_setpoints

residual_harmonic_mlp

0.003380

0.003868

0.003065

26,266

11m 55s

0.32 MB

Medium

Low

dataset_input_mode_retraining__residual_harmonic_mlp__simplified_setpoints

20

te_residual_harmonic_dense360_tracking_global

residual_harmonic_mlp

0.003434

0.003957

0.002943

26,962

13m 52s

0.33 MB

Medium

Low

wave1_high_order_harmonic_tracking_campaign_2026_05_19_17_40_01

21

te_residual_harmonic_mlp_global__simplified_setpoints

residual_harmonic_mlp

0.003548

0.004086

0.003158

26,266

8m 18s

0.32 MB

Medium

Low

dataset_input_mode_retraining__residual_harmonic_mlp__simplified_setpoints

sequential_residual_offset_probe

  • Best run: te_sequential_residual_offset_probe_remote_global

  • Best test MAE: 0.003537

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_sequential_residual_offset_probe_remote_global

sequential_residual_offset_probe

0.003537

0.004005

0.003783

92,802

9m 22s

1.09 MB

High

Low

track2f_offset_aware_probe_campaign_2026_06_03

spectral_sobolev_guidance

  • Best run: N/A

  • Best test MAE: N/A

  • Completed tracked runs: 15

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

2026-07-29-15-34-06__stage6_c01

unknown

N/A

N/A

N/A

N/A

N/A

N/A

Unknown

Unknown

standalone_or_unknown

2

2026-07-29-15-34-07__stage6_c02

unknown

N/A

N/A

N/A

N/A

N/A

N/A

Unknown

Unknown

standalone_or_unknown

3

2026-07-29-15-34-08__stage6_c03

unknown

N/A

N/A

N/A

N/A

N/A

N/A

Unknown

Unknown

standalone_or_unknown

4

2026-07-29-15-34-08__stage6_c04

unknown

N/A

N/A

N/A

N/A

N/A

N/A

Unknown

Unknown

standalone_or_unknown

5

2026-07-29-15-34-09__stage6_d01

unknown

N/A

N/A

N/A

N/A

N/A

N/A

Unknown

Unknown

standalone_or_unknown

6

2026-07-29-15-34-10__stage6_s02

unknown

N/A

N/A

N/A

N/A

N/A

N/A

Unknown

Unknown

standalone_or_unknown

7

2026-07-29-15-34-11__stage6_ds01

unknown

N/A

N/A

N/A

N/A

N/A

N/A

Unknown

Unknown

standalone_or_unknown

8

2026-07-29-15-34-12__stage6_ds02

unknown

N/A

N/A

N/A

N/A

N/A

N/A

Unknown

Unknown

standalone_or_unknown

9

2026-07-29-15-34-13__stage6_cu01

unknown

N/A

N/A

N/A

N/A

N/A

N/A

Unknown

Unknown

standalone_or_unknown

10

2026-07-29-15-34-13__stage6_fi01

unknown

N/A

N/A

N/A

N/A

N/A

N/A

Unknown

Unknown

standalone_or_unknown

11

2026-07-29-15-34-14__stage6_ff00

unknown

N/A

N/A

N/A

N/A

N/A

N/A

Unknown

Unknown

standalone_or_unknown

12

2026-07-29-15-34-14__stage6_ff01

unknown

N/A

N/A

N/A

N/A

N/A

N/A

Unknown

Unknown

standalone_or_unknown

13

2026-07-29-15-34-15__stage6_si00

unknown

N/A

N/A

N/A

N/A

N/A

N/A

Unknown

Unknown

standalone_or_unknown

14

2026-07-29-15-34-15__stage6_si01

unknown

N/A

N/A

N/A

N/A

N/A

N/A

Unknown

Unknown

standalone_or_unknown

15

2026-07-29-15-34-16__stage6_w01

unknown

N/A

N/A

N/A

N/A

N/A

N/A

Unknown

Unknown

standalone_or_unknown

track2f_bis_clean_sequential_residual_offset_global

  • Best run: te_track2f_bis_clean_residual_offset_global

  • Best test MAE: 0.003528

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2f_bis_clean_residual_offset_global

sequential_residual_offset_probe

0.003528

0.004010

0.003717

92,802

11m 40s

1.09 MB

High

Low

track2f_bis_harmonic_offset_probe_campaign_2026_06_04

track2f_bis_harmonic_residual_offset_global

  • Best run: te_track2f_bis_harmonic_residual_offset_global

  • Best test MAE: 0.003538

  • Completed tracked runs: 1

  • Known failed campaign attempts: 1

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2f_bis_harmonic_residual_offset_global

harmonic_residual_offset_probe

0.003538

0.003932

0.003659

85,747

0s

1.00 MB

High

Very Low

track2f_bis_harmonic_offset_probe_campaign_2026_06_04

Known failed campaign attempts for this family:

  • te_track2f_bis_harmonic_residual_offset_global | campaign track2f_bis_harmonic_offset_probe_campaign_2026_06_04 | model type harmonic_residual_offset_probe | error Unsupported Model Type for Campaign Runner | harmonic_residual_offset_probe | Supported: ['feedforward', 'gru_sequence', 'harmonic_regression', 'hist_gradient_boosting', 'lstm_sequence', 'periodic_gru_sequence', 'periodic_lstm_sequence', 'periodic_mlp', 'periodic_temporal_convolution', 'random_forest', 'residual_harmonic_gru_sequence', 'residual_harmonic_lstm_sequence', 'residual_harmonic_mlp', 'sequential_residual_offset_probe', 'temporal_convolution']

track2g_curve_aware_harmonic_residual_offset_full_curve_composite_global

  • Best run: te_track2g_curve_aware_full_curve_composite_global

  • Best test MAE: 0.002008

  • Completed tracked runs: 2

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2g_curve_aware_full_curve_composite_global

curve_aware_harmonic_residual_offset_probe

0.002008

0.002581

0.001872

85,440

44m 57s

1.00 MB

High

High

track2g_curve_aware_training_campaign_2026_06_08

2

te_track2g_curve_aware_full_curve_composite_global

curve_aware_harmonic_residual_offset_probe

0.003345

0.003713

0.003616

85,747

32m 15s

1.00 MB

High

Medium

track2g_curve_aware_training_campaign_2026_06_08

track2g_curve_aware_harmonic_residual_offset_pointwise_control_global

  • Best run: te_track2g_curve_aware_pointwise_control_global

  • Best test MAE: 0.003587

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2g_curve_aware_pointwise_control_global

curve_aware_harmonic_residual_offset_probe

0.003587

0.004001

0.003607

85,747

20m 29s

1.00 MB

High

Medium

track2g_curve_aware_training_campaign_2026_06_08

track2g_curve_aware_harmonic_residual_offset_raw_centered_shape_global

  • Best run: te_track2g_curve_aware_raw_centered_shape_global

  • Best test MAE: 0.003350

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2g_curve_aware_raw_centered_shape_global

curve_aware_harmonic_residual_offset_probe

0.003350

0.003753

0.003636

85,747

22m 08s

1.00 MB

High

Medium

track2g_curve_aware_training_campaign_2026_06_08

track2g_curve_aware_harmonic_residual_offset_raw_offset_global

  • Best run: te_track2g_curve_aware_raw_offset_global

  • Best test MAE: 0.003465

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2g_curve_aware_raw_offset_global

curve_aware_harmonic_residual_offset_probe

0.003465

0.003829

0.003564

85,747

32m 11s

1.00 MB

High

Medium

track2g_curve_aware_training_campaign_2026_06_08

track2h_dispersion_aware_log_cosh_robust_global

  • Best run: te_track2h_log_cosh_robust_global

  • Best test MAE: 0.003505

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2h_log_cosh_robust_global

curve_aware_harmonic_residual_offset_probe

0.003505

0.003935

0.003645

85,747

18m 16s

1.00 MB

High

Medium

track2h_dispersion_aware_modeling_campaign_2026_06_10

track2h_dispersion_aware_mae_robust_global

  • Best run: te_track2h_mae_robust_global

  • Best test MAE: 0.003406

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2h_mae_robust_global

curve_aware_harmonic_residual_offset_probe

0.003406

0.003807

0.003645

85,747

16m 33s

1.00 MB

High

Medium

track2h_dispersion_aware_modeling_campaign_2026_06_10

track2h_dispersion_aware_smooth_l1_robust_global

  • Best run: te_track2h_smooth_l1_robust_global

  • Best test MAE: 0.003422

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2h_smooth_l1_robust_global

curve_aware_harmonic_residual_offset_probe

0.003422

0.003810

0.003641

85,747

15m 30s

1.00 MB

High

Medium

track2h_dispersion_aware_modeling_campaign_2026_06_10

track2h_latent_state_hysteresis_causal_tcn_offset_residual_global

  • Best run: te_track2h_l_causal_tcn_offset_residual_global

  • Best test MAE: 0.003368

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2h_l_causal_tcn_offset_residual_global

latent_state_hysteresis_probe

0.003368

0.003860

0.003543

97,923

28m 35s

1.17 MB

High

Medium

track2h_latent_state_hysteresis_campaign_2026_06_16

track2h_latent_state_hysteresis_gru_offset_residual_global

  • Best run: te_track2h_l_gru_offset_residual_global

  • Best test MAE: 0.002339

  • Completed tracked runs: 2

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2h_l_gru_offset_residual_global

latent_state_hysteresis_probe

0.002339

0.002986

0.002232

124,899

23m 03s

1.48 MB

High

Medium

track2h_latent_state_hysteresis_campaign_2026_06_16

2

te_track2h_l_gru_offset_residual_global

latent_state_hysteresis_probe

0.003590

0.004074

0.003717

125,475

17m 28s

1.48 MB

High

Medium

track2h_latent_state_hysteresis_campaign_2026_06_16

track2h_mixture_density_heads_mdn_k2_global

  • Best run: te_track2h_mdn_k2_global

  • Best test MAE: 0.003503

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2h_mdn_k2_global

curve_aware_harmonic_residual_offset_probe

0.003503

0.003938

0.003654

86,802

20m 19s

1.01 MB

High

Medium

track2h_mixture_density_heads_campaign_2026_06_13

track2h_mixture_density_heads_mdn_k3_global

  • Best run: te_track2h_mdn_k3_global

  • Best test MAE: 0.003564

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2h_mdn_k3_global

curve_aware_harmonic_residual_offset_probe

0.003564

0.003986

0.003617

87,435

20m 24s

1.02 MB

High

Medium

track2h_mixture_density_heads_campaign_2026_06_13

track2h_quantile_probabilistic_gaussian_nll_global

  • Best run: te_track2h_gaussian_nll_global

  • Best test MAE: 0.003013

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2h_gaussian_nll_global

curve_aware_harmonic_residual_offset_probe

0.003013

0.003388

0.003267

85,958

1h 02m 12s

1.00 MB

High

High

track2h_quantile_probabilistic_campaign_2026_06_12

track2h_quantile_probabilistic_quantile_p10_p50_p90_global

  • Best run: te_track2h_quantile_p10_p50_p90_global

  • Best test MAE: 0.003383

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2h_quantile_p10_p50_p90_global

curve_aware_harmonic_residual_offset_probe

0.003383

0.003764

0.003606

86,169

18m 38s

1.01 MB

High

Medium

track2h_quantile_probabilistic_campaign_2026_06_12

tree

  • Best run: te_hist_gbr_tabular_global

  • Best test MAE: 0.001753

  • Completed tracked runs: 19

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_tree_global__polished_setpoints

hist_gradient_boosting

0.001699

0.002947

0.001498

5

2m 51s

0.47 MB

Light Artifact

Low

dataset_input_mode_retraining__tree__polished_setpoints

2

te_tree_fw__polished_setpoints

hist_gradient_boosting

0.001699

0.002947

0.001498

5

2m 36s

0.47 MB

Light Artifact

Low

dataset_input_mode_retraining__tree__polished_setpoints

3

te_tree_bw__polished_setpoints

hist_gradient_boosting

0.001699

0.002947

0.001498

5

2m 31s

0.47 MB

Light Artifact

Low

dataset_input_mode_retraining__tree__polished_setpoints

4

te_tree_global__polished_actual_values

hist_gradient_boosting

0.001750

0.002892

0.001570

5

2m 41s

0.44 MB

Light Artifact

Low

dataset_input_mode_retraining__tree__polished_actual_values

5

te_tree_fw__polished_actual_values

hist_gradient_boosting

0.001750

0.002892

0.001570

5

2m 32s

0.44 MB

Light Artifact

Low

dataset_input_mode_retraining__tree__polished_actual_values

6

te_tree_bw__polished_actual_values

hist_gradient_boosting

0.001750

0.002892

0.001570

5

2m 29s

0.44 MB

Light Artifact

Low

dataset_input_mode_retraining__tree__polished_actual_values

7

te_hist_gbr_tabular_global

hist_gradient_boosting

0.001753

0.002892

0.001591

4

1m 53s

0.44 MB

Light Artifact

Very Low

wave1_directional_retraining_campaign_2026_05_06_16_07_16

8

te_tree_global

hist_gradient_boosting

0.001753

0.002892

0.001591

4

3m 00s

0.44 MB

Light Artifact

Low

polished_dataset_full_wave_retraining_2026_06_22

9

te_tree_fw

hist_gradient_boosting

0.001753

0.002892

0.001591

4

2m 29s

0.44 MB

Light Artifact

Low

polished_dataset_full_wave_retraining_2026_06_22

10

te_tree_bw

hist_gradient_boosting

0.001753

0.002892

0.001591

4

2m 24s

0.44 MB

Light Artifact

Low

polished_dataset_full_wave_retraining_2026_06_22

11

te_tree_global

hist_gradient_boosting

0.001753

0.002892

0.001591

4

2m 16s

0.44 MB

Light Artifact

Low

polished_dataset_full_wave_retraining_2026_06_22

12

te_tree_fw

hist_gradient_boosting

0.001753

0.002892

0.001591

4

1m 53s

0.44 MB

Light Artifact

Very Low

polished_dataset_full_wave_retraining_2026_06_22

13

te_tree_bw

hist_gradient_boosting

0.001753

0.002892

0.001591

4

1m 53s

0.44 MB

Light Artifact

Very Low

polished_dataset_full_wave_retraining_2026_06_22

14

te_hist_gbr_tabular_global_grid_depth10_lr008_leaf10

hist_gradient_boosting

0.002782

0.003520

0.002655

5

N/A

0.48 MB

Light Artifact

Unknown

standalone_or_unknown

15

te_hist_gbr_tabular_global_grid_depth10_lr008_leaf20

hist_gradient_boosting

0.002782

0.003520

0.002655

5

N/A

0.48 MB

Light Artifact

Unknown

standalone_or_unknown

16

te_hist_gbr_tabular_global_grid_depth8_lr008_leaf10

hist_gradient_boosting

0.002830

0.003585

0.002677

5

N/A

0.50 MB

Light Artifact

Unknown

standalone_or_unknown

17

te_tree_global__simplified_setpoints

hist_gradient_boosting

0.002885

0.003607

0.002719

5

2m 03s

0.62 MB

Light Artifact

Low

dataset_input_mode_retraining__tree__simplified_setpoints

18

te_tree_fw__simplified_setpoints

hist_gradient_boosting

0.002885

0.003607

0.002719

5

2m 04s

0.62 MB

Light Artifact

Low

dataset_input_mode_retraining__tree__simplified_setpoints

19

te_tree_bw__simplified_setpoints

hist_gradient_boosting

0.002885

0.003607

0.002719

5

1m 55s

0.62 MB

Light Artifact

Very Low

dataset_input_mode_retraining__tree__simplified_setpoints

wave3_3_full_curve_composite

  • Best run: N/A

  • Best test MAE: N/A

  • Completed tracked runs: 12

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_wave3_3_full_curve_composite_global

curve_aware_harmonic_residual_offset_probe

0.002023

0.002587

0.001894

85,440

34m 43s

1.00 MB

High

Medium

polished_dataset_full_wave_retraining_2026_06_22

2

te_wave3_3_full_curve_composite_fw

curve_aware_harmonic_residual_offset_probe

0.002038

0.002607

0.001898

85,440

25m 54s

1.00 MB

High

Medium

polished_dataset_full_wave_retraining_2026_06_22

3

te_wave3_3_full_curve_composite_bw

curve_aware_harmonic_residual_offset_probe

0.002067

0.002638

0.001920

85,440

29m 10s

1.00 MB

High

Medium

polished_dataset_full_wave_retraining_2026_06_22

4

te_wave3_3_full_curve_composite_bw__polished_actual_values

curve_aware_harmonic_residual_offset_probe

0.002070

0.003119

0.001944

85,747

41m 52s

1.00 MB

High

High

dataset_input_mode_retraining__wave3_3_full_curve_composite__polished_actual_values

5

te_wave3_3_full_curve_composite_fw__polished_actual_values

curve_aware_harmonic_residual_offset_probe

0.002113

0.003176

0.001980

85,747

55m 37s

1.00 MB

High

High

dataset_input_mode_retraining__wave3_3_full_curve_composite__polished_actual_values

6

te_wave3_3_full_curve_composite_global__polished_actual_values

curve_aware_harmonic_residual_offset_probe

0.002169

0.003232

0.002008

85,747

38m 19s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave3_3_full_curve_composite__polished_actual_values

7

te_wave3_3_full_curve_composite_fw__polished_setpoints

curve_aware_harmonic_residual_offset_probe

0.002353

0.003715

0.002030

85,747

32m 51s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave3_3_full_curve_composite__polished_setpoints

8

te_wave3_3_full_curve_composite_global__polished_setpoints

curve_aware_harmonic_residual_offset_probe

0.002353

0.003704

0.002058

85,747

40m 00s

1.00 MB

High

High

dataset_input_mode_retraining__wave3_3_full_curve_composite__polished_setpoints

9

te_wave3_3_full_curve_composite_bw__polished_setpoints

curve_aware_harmonic_residual_offset_probe

0.002360

0.003713

0.002037

85,747

26m 34s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave3_3_full_curve_composite__polished_setpoints

10

te_wave3_3_full_curve_composite_global__simplified_setpoints

curve_aware_harmonic_residual_offset_probe

0.003419

0.004198

0.003639

85,747

36m 52s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave3_3_full_curve_composite__simplified_setpoints

11

te_wave3_3_full_curve_composite_bw__simplified_setpoints

curve_aware_harmonic_residual_offset_probe

0.003553

0.004307

0.003657

85,747

34m 10s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave3_3_full_curve_composite__simplified_setpoints

12

te_wave3_3_full_curve_composite_fw__simplified_setpoints

curve_aware_harmonic_residual_offset_probe

0.003575

0.004322

0.003679

85,747

30m 41s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave3_3_full_curve_composite__simplified_setpoints

wave3_harmonic_prior_residual_pointwise_control_global

  • Best run: te_wave3_harmonic_prior_residual_pointwise_control_global

  • Best test MAE: 0.003451

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_wave3_harmonic_prior_residual_pointwise_control_global

wave3_harmonic_prior_residual

0.003451

0.003851

0.003611

7,283

26m 08s

0.11 MB

Low

Medium

wave3_harmonic_prior_residual_campaign_2026_06_14

wave3_harmonic_prior_residual_smooth_l1_structured_global

  • Best run: te_wave3_harmonic_prior_residual_smooth_l1_structured_global

  • Best test MAE: 0.002168

  • Completed tracked runs: 2

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_wave3_harmonic_prior_residual_smooth_l1_structured_global

wave3_harmonic_prior_residual

0.002168

0.002763

0.001889

7,168

21m 31s

0.10 MB

Low

Medium

wave3_harmonic_prior_residual_campaign_2026_06_14

2

te_wave3_harmonic_prior_residual_smooth_l1_structured_global

wave3_harmonic_prior_residual

0.003403

0.003785

0.003633

7,283

19m 38s

0.11 MB

Low

Medium

wave3_harmonic_prior_residual_campaign_2026_06_14

wave4_1_mae_robust_loss

  • Best run: N/A

  • Best test MAE: N/A

  • Completed tracked runs: 12

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_wave4_1_mae_robust_loss_global

curve_aware_harmonic_residual_offset_probe

0.001890

0.002443

0.001754

85,440

50m 21s

1.00 MB

High

High

polished_dataset_full_wave_retraining_2026_06_22

2

te_wave4_1_mae_robust_loss_bw

curve_aware_harmonic_residual_offset_probe

0.001907

0.002455

0.001757

85,440

52m 16s

1.00 MB

High

High

polished_dataset_full_wave_retraining_2026_06_22

3

te_wave4_1_mae_robust_loss_fw

curve_aware_harmonic_residual_offset_probe

0.001961

0.002502

0.001806

85,440

26m 51s

1.00 MB

High

Medium

polished_dataset_full_wave_retraining_2026_06_22

4

te_wave4_1_mae_robust_loss_fw__polished_actual_values

curve_aware_harmonic_residual_offset_probe

0.002010

0.003415

0.001734

85,747

49m 15s

1.00 MB

High

High

dataset_input_mode_retraining__wave4_1_mae_robust_loss__polished_actual_values

5

te_wave4_1_mae_robust_loss_bw__polished_actual_values

curve_aware_harmonic_residual_offset_probe

0.002013

0.003329

0.001787

85,747

47m 12s

1.00 MB

High

High

dataset_input_mode_retraining__wave4_1_mae_robust_loss__polished_actual_values

6

te_wave4_1_mae_robust_loss_global__polished_actual_values

curve_aware_harmonic_residual_offset_probe

0.002047

0.003417

0.001768

85,747

43m 48s

1.00 MB

High

High

dataset_input_mode_retraining__wave4_1_mae_robust_loss__polished_actual_values

7

te_wave4_1_mae_robust_loss_fw__polished_setpoints

curve_aware_harmonic_residual_offset_probe

0.002109

0.003545

0.001792

85,747

31m 29s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave4_1_mae_robust_loss__polished_setpoints

8

te_wave4_1_mae_robust_loss_global__polished_setpoints

curve_aware_harmonic_residual_offset_probe

0.002113

0.003548

0.001788

85,747

47m 04s

1.00 MB

High

High

dataset_input_mode_retraining__wave4_1_mae_robust_loss__polished_setpoints

9

te_wave4_1_mae_robust_loss_bw__polished_setpoints

curve_aware_harmonic_residual_offset_probe

0.002150

0.003545

0.001832

85,747

27m 59s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave4_1_mae_robust_loss__polished_setpoints

10

te_wave4_1_mae_robust_loss_global__simplified_setpoints

curve_aware_harmonic_residual_offset_probe

0.003478

0.004271

0.003555

85,747

29m 25s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave4_1_mae_robust_loss__simplified_setpoints

11

te_wave4_1_mae_robust_loss_bw__simplified_setpoints

curve_aware_harmonic_residual_offset_probe

0.003512

0.004289

0.003586

85,747

22m 13s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave4_1_mae_robust_loss__simplified_setpoints

12

te_wave4_1_mae_robust_loss_fw__simplified_setpoints

curve_aware_harmonic_residual_offset_probe

0.003561

0.004316

0.003644

85,747

17m 35s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave4_1_mae_robust_loss__simplified_setpoints

wave4_2_quantile_p10_p50_p90

  • Best run: N/A

  • Best test MAE: N/A

  • Completed tracked runs: 15

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_wave4_2_quantile_p10_p50_p90_global

curve_aware_harmonic_residual_offset_probe

0.001878

0.002428

0.001728

85,824

59m 14s

1.00 MB

High

High

polished_dataset_full_wave_retraining_2026_06_22

2

te_wave4_2_quantile_p10_p50_p90_bw

curve_aware_harmonic_residual_offset_probe

0.001888

0.002435

0.001741

85,824

45m 41s

1.00 MB

High

High

polished_dataset_full_wave_retraining_2026_06_22

3

te_wave4_2_quantile_p10_p50_p90_fw

curve_aware_harmonic_residual_offset_probe

0.001914

0.002457

0.001731

85,824

59m 28s

1.00 MB

High

High

polished_dataset_full_wave_retraining_2026_06_22

4

te_wave4_2_quantile_p10_p50_p90_fw__polished_actual_values

curve_aware_harmonic_residual_offset_probe

0.001918

0.003007

0.001768

86,169

56m 11s

1.01 MB

High

High

dataset_input_mode_retraining__wave4_2_quantile_p10_p50_p90__polished_actual_values

5

te_wave4_2_quantile_p10_p50_p90_global__polished_actual_values

curve_aware_harmonic_residual_offset_probe

0.001934

0.003029

0.001774

86,169

42m 47s

1.01 MB

High

High

dataset_input_mode_retraining__wave4_2_quantile_p10_p50_p90__polished_actual_values

6

te_wave4_2_quantile_p10_p50_p90_bw__polished_actual_values

curve_aware_harmonic_residual_offset_probe

0.001952

0.003074

0.001788

86,169

29m 32s

1.01 MB

High

Medium

dataset_input_mode_retraining__wave4_2_quantile_p10_p50_p90__polished_actual_values

7

te_wave4_2_quantile_p10_p50_p90_global__polished_setpoints

curve_aware_harmonic_residual_offset_probe

0.002095

0.003519

0.001795

86,169

33m 37s

1.01 MB

High

Medium

dataset_input_mode_retraining__wave4_2_quantile_p10_p50_p90__polished_setpoints

8

te_wave4_2_quantile_p10_p50_p90_bw__polished_setpoints

curve_aware_harmonic_residual_offset_probe

0.002133

0.003542

0.001817

86,169

24m 02s

1.01 MB

High

Medium

dataset_input_mode_retraining__wave4_2_quantile_p10_p50_p90__polished_setpoints

9

te_wave4_2_quantile_p10_p50_p90_fw__polished_setpoints

curve_aware_harmonic_residual_offset_probe

0.002141

0.003552

0.001801

86,169

39m 27s

1.01 MB

High

Medium

dataset_input_mode_retraining__wave4_2_quantile_p10_p50_p90__polished_setpoints

10

te_wave4_2_quantile_p10_p50_p90_global__simplified_setpoints

curve_aware_harmonic_residual_offset_probe

0.003342

0.004121

0.003537

86,169

22m 07s

1.01 MB

High

Medium

dataset_input_mode_retraining__wave4_2_quantile_p10_p50_p90__simplified_setpoints

11

te_wave4_2_quantile_p10_p50_p90_global__simplified_setpoints

curve_aware_harmonic_residual_offset_probe

0.003378

0.004183

0.003516

86,169

25m 04s

1.01 MB

High

Medium

dataset_input_mode_retraining__wave4_2_quantile_p10_p50_p90__simplified_setpoints

12

te_wave4_2_quantile_p10_p50_p90_bw__simplified_setpoints

curve_aware_harmonic_residual_offset_probe

0.003411

0.004192

0.003537

86,169

35m 11s

1.01 MB

High

Medium

dataset_input_mode_retraining__wave4_2_quantile_p10_p50_p90__simplified_setpoints

13

te_wave4_2_quantile_p10_p50_p90_fw__simplified_setpoints

curve_aware_harmonic_residual_offset_probe

0.003443

0.004183

0.003558

86,169

27m 14s

1.01 MB

High

Medium

dataset_input_mode_retraining__wave4_2_quantile_p10_p50_p90__simplified_setpoints

14

te_wave4_2_quantile_p10_p50_p90_bw__simplified_setpoints

curve_aware_harmonic_residual_offset_probe

0.003466

0.004275

0.003551

86,169

25m 51s

1.01 MB

High

Medium

dataset_input_mode_retraining__wave4_2_quantile_p10_p50_p90__simplified_setpoints

15

te_wave4_2_quantile_p10_p50_p90_fw__simplified_setpoints

curve_aware_harmonic_residual_offset_probe

0.003496

0.004299

0.003497

86,169

27m 58s

1.01 MB

High

Medium

dataset_input_mode_retraining__wave4_2_quantile_p10_p50_p90__simplified_setpoints

wave4_3_mixture_density_k3

  • Best run: N/A

  • Best test MAE: N/A

  • Completed tracked runs: 12

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_wave4_3_mixture_density_k3_global

curve_aware_harmonic_residual_offset_probe

0.001544

0.001992

0.001407

86,976

1h 03m 09s

1.01 MB

High

High

polished_dataset_full_wave_retraining_2026_06_22

2

te_wave4_3_mixture_density_k3_fw

curve_aware_harmonic_residual_offset_probe

0.001671

0.002181

0.001501

86,976

1h 12m 00s

1.01 MB

High

High

polished_dataset_full_wave_retraining_2026_06_22

3

te_wave4_3_mixture_density_k3_bw

curve_aware_harmonic_residual_offset_probe

0.001704

0.002205

0.001519

86,976

54m 20s

1.01 MB

High

High

polished_dataset_full_wave_retraining_2026_06_22

4

te_wave4_3_mixture_density_k3_fw__polished_actual_values

curve_aware_harmonic_residual_offset_probe

0.001803

0.003007

0.001615

87,435

1h 00m 36s

1.02 MB

High

High

dataset_input_mode_retraining__wave4_3_mixture_density_k3__polished_actual_values

5

te_wave4_3_mixture_density_k3_global__polished_actual_values

curve_aware_harmonic_residual_offset_probe

0.001980

0.003276

0.001787

87,435

40m 40s

1.02 MB

High

High

dataset_input_mode_retraining__wave4_3_mixture_density_k3__polished_actual_values

6

te_wave4_3_mixture_density_k3_bw__polished_actual_values

curve_aware_harmonic_residual_offset_probe

0.002095

0.003487

0.001814

87,435

27m 57s

1.02 MB

High

Medium

dataset_input_mode_retraining__wave4_3_mixture_density_k3__polished_actual_values

7

te_wave4_3_mixture_density_k3_fw__polished_setpoints

curve_aware_harmonic_residual_offset_probe

0.002151

0.003566

0.001846

87,435

33m 52s

1.02 MB

High

Medium

dataset_input_mode_retraining__wave4_3_mixture_density_k3__polished_setpoints

8

te_wave4_3_mixture_density_k3_global__polished_setpoints

curve_aware_harmonic_residual_offset_probe

0.002163

0.003572

0.001838

87,435

40m 39s

1.02 MB

High

High

dataset_input_mode_retraining__wave4_3_mixture_density_k3__polished_setpoints

9

te_wave4_3_mixture_density_k3_bw__polished_setpoints

curve_aware_harmonic_residual_offset_probe

0.002176

0.003600

0.001834

87,435

46m 49s

1.02 MB

High

High

dataset_input_mode_retraining__wave4_3_mixture_density_k3__polished_setpoints

10

te_wave4_3_mixture_density_k3_fw__simplified_setpoints

curve_aware_harmonic_residual_offset_probe

0.003333

0.004103

0.003574

87,435

22m 40s

1.02 MB

High

Medium

dataset_input_mode_retraining__wave4_3_mixture_density_k3__simplified_setpoints

11

te_wave4_3_mixture_density_k3_global__simplified_setpoints

curve_aware_harmonic_residual_offset_probe

0.003460

0.004301

0.003582

87,435

25m 04s

1.02 MB

High

Medium

dataset_input_mode_retraining__wave4_3_mixture_density_k3__simplified_setpoints

12

te_wave4_3_mixture_density_k3_bw__simplified_setpoints

curve_aware_harmonic_residual_offset_probe

0.003521

0.004291

0.003613

87,435

24m 44s

1.02 MB

High

Medium

dataset_input_mode_retraining__wave4_3_mixture_density_k3__simplified_setpoints

wave52b_offset_harmonic_guided_offset_centered_shape_global

  • Best run: te_wave52b_offset_harmonic_guided_offset_centered_shape_global

  • Best test MAE: 0.002540

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_wave52b_offset_harmonic_guided_offset_centered_shape_global

wave52b_offset_harmonic_guided

0.002540

0.003229

0.002271

22,593

49m 14s

0.30 MB

Medium

High

wave52b_offset_harmonic_guided_campaign_2026_07_01

wave52b_offset_harmonic_guided_offset_centered_shape_harmonic_global

  • Best run: te_wave52b_offset_harmonic_guided_offset_centered_shape_harmonic_global

  • Best test MAE: 0.002215

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_wave52b_offset_harmonic_guided_offset_centered_shape_harmonic_global

wave52b_offset_harmonic_guided

0.002215

0.002799

0.001886

22,593

46m 25s

0.30 MB

Medium

High

wave52b_offset_harmonic_guided_campaign_2026_07_01

wave52b_offset_harmonic_guided_offset_head_global

  • Best run: te_wave52b_offset_harmonic_guided_offset_head_global

  • Best test MAE: 0.002483

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_wave52b_offset_harmonic_guided_offset_head_global

wave52b_offset_harmonic_guided

0.002483

0.003166

0.002249

22,593

1h 00m 16s

0.30 MB

Medium

High

wave52b_offset_harmonic_guided_campaign_2026_07_01

wave52b_offset_harmonic_guided_pointwise_control_global

  • Best run: te_wave52b_offset_harmonic_guided_pointwise_control_global

  • Best test MAE: 0.002461

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_wave52b_offset_harmonic_guided_pointwise_control_global

wave52b_offset_harmonic_guided

0.002461

0.003142

0.002210

22,593

55m 18s

0.30 MB

Medium

High

wave52b_offset_harmonic_guided_campaign_2026_07_01

wave5_1_harmonic_prior_smooth_l1_structured

  • Best run: N/A

  • Best test MAE: N/A

  • Completed tracked runs: 3

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_wave5_1_harmonic_prior_smooth_l1_structured_global

wave3_harmonic_prior_residual

0.002119

0.002712

0.001870

7,168

29m 36s

0.10 MB

Low

Medium

polished_dataset_full_wave_retraining_2026_06_22

2

te_wave5_1_harmonic_prior_smooth_l1_structured_fw

wave3_harmonic_prior_residual

0.002151

0.002745

0.001912

7,168

28m 24s

0.10 MB

Low

Medium

polished_dataset_full_wave_retraining_2026_06_22

3

te_wave5_1_harmonic_prior_smooth_l1_structured_bw

wave3_harmonic_prior_residual

0.002178

0.002776

0.001921

7,168

25m 05s

0.10 MB

Low

Medium

polished_dataset_full_wave_retraining_2026_06_22

Forward Models

causal_offset_mean_calibration

  • Best run: N/A

  • Best test MAE: N/A

  • Completed tracked runs: 2

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_causal_offset_mean_periodic_mlp_harmonic_fw__polished_setpoints

periodic_mlp

0.001277

0.001739

0.001469

28,545

7m 42s

0.35 MB

Medium

Low

causal_offset_mean_calibration_pilot_2026_07_22

2

te_causal_offset_mean_gru_sequence_fw__polished_setpoints

sequential_residual_offset_probe

0.002100

0.002610

0.002428

92,802

6m 23s

1.09 MB

High

Low

causal_offset_mean_calibration_pilot_2026_07_22

data_only_residual_capacity

  • Best run: N/A

  • Best test MAE: N/A

  • Completed tracked runs: 18

  • Known failed campaign attempts: 1

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_stage4_h08_r5_deep__polished_setpoints_fw

data_only_residual_capacity

0.001455

0.001825

0.001490

7,187

5m 01s

0.10 MB

Low

Low

wave52r_stage4_data_only_residual_capacity_2026_07_28

2

te_stage4_c04_r1_deep__polished_setpoints_fw

data_only_residual_capacity

0.001609

0.002010

0.001828

6,901

4m 35s

0.10 MB

Low

Low

wave52r_stage4_data_only_residual_capacity_2026_07_28

3

te_stage4_h02_r2_deep__polished_setpoints_fw

data_only_residual_capacity

0.001617

0.002030

0.001630

7,745

5m 08s

0.11 MB

Low

Low

wave52r_stage4_data_only_residual_capacity_2026_07_28

4

te_stage4_c03_r1_compact__polished_setpoints_fw

data_only_residual_capacity

0.001620

0.002066

0.001874

1,485

3m 48s

0.04 MB

Low

Low

wave52r_stage4_data_only_residual_capacity_2026_07_28

5

te_stage4_c01_r1_compact__polished_setpoints_fw

data_only_residual_capacity

0.001624

0.002065

0.001835

1,825

4m 20s

0.04 MB

Low

Low

wave52r_stage4_data_only_residual_capacity_2026_07_28

6

te_stage4_c05_r1_compact__polished_setpoints_fw

data_only_residual_capacity

0.001624

0.002065

0.001835

1,825

4m 16s

0.04 MB

Low

Low

wave52r_stage4_data_only_residual_capacity_2026_07_28

7

te_stage4_c06_r1_deep__polished_setpoints_fw

data_only_residual_capacity

0.001665

0.002134

0.001915

7,139

4m 15s

0.10 MB

Low

Low

wave52r_stage4_data_only_residual_capacity_2026_07_28

8

te_stage4_h07_r5_compact__polished_setpoints_fw

data_only_residual_capacity

0.001725

0.002119

0.001765

1,843

5m 03s

0.04 MB

Low

Low

wave52r_stage4_data_only_residual_capacity_2026_07_28

9

te_stage4_c02_r1_deep__polished_setpoints_fw

data_only_residual_capacity

0.001760

0.002226

0.002001

7,745

2m 58s

0.11 MB

Low

Low

wave52r_stage4_data_only_residual_capacity_2026_07_28

10

te_stage4_a01_r2_compact__polished_setpoints_fw

data_only_residual_capacity

0.001878

0.002393

0.002265

1,825

5m 02s

0.04 MB

Low

Low

wave52r_stage4_data_only_residual_capacity_2026_07_28

11

te_stage4_a03_r5_compact__polished_setpoints_fw

data_only_residual_capacity

0.001926

0.002382

0.002057

2,033

2m 45s

0.04 MB

Low

Low

wave52r_stage4_data_only_residual_capacity_2026_07_28

12

te_stage4_h01_r2_compact__polished_setpoints_fw

data_only_residual_capacity

0.001940

0.002397

0.002123

1,825

5m 11s

0.04 MB

Low

Low

wave52r_stage4_data_only_residual_capacity_2026_07_28

13

te_stage4_h06_r4_deep__polished_setpoints_fw

data_only_residual_capacity

0.001965

0.002572

0.002177

6,857

4m 42s

0.10 MB

Low

Low

wave52r_stage4_data_only_residual_capacity_2026_07_28

14

te_stage4_h05_r4_compact__polished_setpoints_fw

data_only_residual_capacity

0.002111

0.002707

0.002346

1,513

5m 05s

0.04 MB

Low

Low

wave52r_stage4_data_only_residual_capacity_2026_07_28

15

te_stage4_a04_r5_compact__polished_setpoints_fw

data_only_residual_capacity

0.002846

0.003546

0.003065

2,033

3m 13s

0.04 MB

Low

Low

wave52r_stage4_data_only_residual_capacity_2026_07_28

16

te_stage4_a02_r2_compact__polished_setpoints_fw

data_only_residual_capacity

0.005241

0.006491

0.006336

1,825

4m 04s

0.04 MB

Low

Low

wave52r_stage4_data_only_residual_capacity_2026_07_28

17

te_stage4_h03_r3_compact__polished_setpoints_fw

data_only_residual_capacity

0.046115

0.055988

0.058291

1,825

4m 44s

0.04 MB

Low

Low

wave52r_stage4_data_only_residual_capacity_2026_07_28

18

te_stage4_h04_r3_deep__polished_setpoints_fw

data_only_residual_capacity

0.046188

0.055998

0.058330

7,745

3m 33s

0.11 MB

Low

Low

wave52r_stage4_data_only_residual_capacity_2026_07_28

Known failed campaign attempts for this family:

  • te_stage4_c01_r1_compact__polished_setpoints_fw | campaign wave52r_stage4_data_only_residual_capacity_2026_07_28 | model type data_only_residual_capacity | error Unsupported Model Type for Campaign Runner | data_only_residual_capacity | Supported: ['curve_aware_harmonic_residual_offset_probe', 'feedforward', 'gru_sequence', 'harmonic_kinematic_pinn', 'harmonic_regression', 'harmonic_residual_offset_probe', 'hist_gradient_boosting', 'latent_state_hysteresis_probe', 'lstm_sequence', 'periodic_gru_sequence', 'periodic_lstm_sequence', 'periodic_mlp', 'periodic_temporal_convolution', 'quasi_static_compliance_pinn', 'random_forest', 'residual_harmonic_gru_sequence', 'residual_harmonic_lstm_sequence', 'residual_harmonic_mlp', 'sequential_residual_offset_probe', 'temporal_convolution', 'wave3_harmonic_prior_residual', 'wave52b_offset_harmonic_guided']

feedforward_fw

  • Best run: te_feedforward_fw

  • Best test MAE: 0.001726

  • Completed tracked runs: 3

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_feedforward_stride1_high_compute_long_remote_Fw_optuna_t0008

feedforward

0.003203

0.003787

0.002850

109,953

N/A

1.28 MB

High

Unknown

standalone_or_unknown

2

te_feedforward_stride1_high_compute_long_remote_Fw_optuna_t0009

feedforward

0.003229

0.003774

0.002850

143,745

N/A

1.67 MB

High

Unknown

standalone_or_unknown

3

te_feedforward_stride1_high_compute_long_remote_Fw_optuna_t0014

feedforward

0.003232

0.003812

0.002846

43,649

N/A

0.52 MB

Medium

Unknown

standalone_or_unknown

gru_sequence_fw

  • Best run: te_gru_sequence_fw

  • Best test MAE: 0.002247

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_gru_sequence_remote_Fw

gru_sequence

0.003333

0.003881

0.003409

151,041

6m 01s

1.74 MB

Very High

Low

wave2_temporal_model_entry_campaign_2026_05_24_11_01_15

harmonic_kinematic_pinn

  • Best run: N/A

  • Best test MAE: N/A

  • Completed tracked runs: 11

  • Known failed campaign attempts: 2

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_phase2_pinn_h0_fourier_control_fw__polished_setpoints

harmonic_kinematic_pinn

0.001354

0.001620

0.001418

5,635

12m 34s

0.08 MB

Low

Low

phase2_harmonic_kinematic_pinn_common_split_restart_2026_07_26

2

te_phase2_pinn_h0_fourier_control_bw__polished_setpoints

harmonic_kinematic_pinn

0.001498

0.001809

0.001624

5,635

10m 04s

0.08 MB

Low

Low

phase2_harmonic_kinematic_pinn_common_split_restart_2026_07_26

3

te_phase2_pinn_h0_fourier_control_fw__polished_setpoints

harmonic_kinematic_pinn

0.001646

0.002040

0.001852

5,635

7m 38s

0.08 MB

Low

Low

phase2_harmonic_kinematic_pinn_runtime_bounded_restart_2026_07_26

4

te_phase2_pinn_h0_fourier_control_bw__polished_setpoints

harmonic_kinematic_pinn

0.001703

0.002137

0.001847

5,635

6m 35s

0.08 MB

Low

Low

phase2_harmonic_kinematic_pinn_2026_07_26

5

te_phase2_pinn_h1_oscillator_residual_bw__polished_setpoints

harmonic_kinematic_pinn

0.001723

0.002210

0.001856

16,570

35m 24s

0.27 MB

Medium

Medium

phase2_harmonic_kinematic_pinn_runtime_bounded_restart_2026_07_26

6

te_phase2_pinn_h2_oscillator_periodic_closure_fw__polished_setpoints

harmonic_kinematic_pinn

0.001784

0.002245

0.002074

16,570

26m 56s

0.27 MB

Medium

Medium

phase2_harmonic_kinematic_pinn_runtime_bounded_restart_2026_07_26

7

te_phase2_pinn_h3_oscillator_periodic_bauer_anchor_bw__polished_setpoints

harmonic_kinematic_pinn

0.001931

0.002469

0.002087

16,570

22m 02s

0.27 MB

Medium

Medium

phase2_harmonic_kinematic_pinn_runtime_bounded_restart_2026_07_26

8

te_phase2_pinn_h1_oscillator_residual_fw__polished_setpoints

harmonic_kinematic_pinn

0.001951

0.002401

0.002127

16,570

17m 23s

0.27 MB

Medium

Medium

phase2_harmonic_kinematic_pinn_runtime_bounded_restart_2026_07_26

9

te_phase2_pinn_h2_oscillator_periodic_closure_bw__polished_setpoints

harmonic_kinematic_pinn

0.001966

0.002545

0.002018

16,570

20m 26s

0.27 MB

Medium

Medium

phase2_harmonic_kinematic_pinn_runtime_bounded_restart_2026_07_26

10

te_phase2_pinn_h0_fourier_control_bw__polished_setpoints

harmonic_kinematic_pinn

0.002066

0.002643

0.002077

5,635

4m 43s

0.08 MB

Low

Low

phase2_harmonic_kinematic_pinn_runtime_bounded_restart_2026_07_26

11

te_phase2_pinn_h3_oscillator_periodic_bauer_anchor_fw__polished_setpoints

harmonic_kinematic_pinn

0.002389

0.003042

0.002898

16,570

20m 32s

0.27 MB

Medium

Medium

phase2_harmonic_kinematic_pinn_runtime_bounded_restart_2026_07_26

Known failed campaign attempts for this family:

  • te_phase2_pinn_h0_fourier_control_fw__polished_setpoints | campaign phase2_harmonic_kinematic_pinn_2026_07_26 | model type harmonic_kinematic_pinn | error Unsupported Model Type for Campaign Runner | harmonic_kinematic_pinn | Supported: ['curve_aware_harmonic_residual_offset_probe', 'feedforward', 'gru_sequence', 'harmonic_regression', 'harmonic_residual_offset_probe', 'hist_gradient_boosting', 'latent_state_hysteresis_probe', 'lstm_sequence', 'periodic_gru_sequence', 'periodic_lstm_sequence', 'periodic_mlp', 'periodic_temporal_convolution', 'random_forest', 'residual_harmonic_gru_sequence', 'residual_harmonic_lstm_sequence', 'residual_harmonic_mlp', 'sequential_residual_offset_probe', 'temporal_convolution', 'wave3_harmonic_prior_residual', 'wave52b_offset_harmonic_guided']

  • te_phase2_pinn_h0_fourier_control_fw__polished_setpoints | campaign phase2_harmonic_kinematic_pinn_2026_07_26 | model type harmonic_kinematic_pinn | error [Errno 22] Invalid argument

harmonic_regression

  • Best run: te_harmonic_order12_linear_conditioned_recovery_global

  • Best test MAE: 0.003839

  • Completed tracked runs: 22

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_harmonic_regression_fw__polished_actual_values

harmonic_regression

0.002066

0.003135

0.001823

150

17m 07s

0.01 MB

Very Low

Medium

dataset_input_mode_retraining__harmonic_regression__polished_actual_values

2

te_harmonic_regression_global__polished_actual_values

harmonic_regression

0.002071

0.003143

0.001823

150

13m 58s

0.01 MB

Very Low

Low

dataset_input_mode_retraining__harmonic_regression__polished_actual_values

3

te_harmonic_regression_bw__polished_actual_values

harmonic_regression

0.002076

0.003150

0.001826

150

13m 53s

0.01 MB

Very Low

Low

dataset_input_mode_retraining__harmonic_regression__polished_actual_values

4

te_harmonic_regression_global

harmonic_regression

0.003795

0.004515

0.003879

125

23m 12s

0.01 MB

Very Low

Medium

polished_dataset_full_wave_retraining_2026_06_22

5

te_harmonic_regression_fw

harmonic_regression

0.003806

0.004524

0.003887

125

15m 42s

0.01 MB

Very Low

Medium

polished_dataset_full_wave_retraining_2026_06_22

6

te_harmonic_regression_bw

harmonic_regression

0.003808

0.004519

0.003892

125

11m 29s

0.01 MB

Very Low

Low

polished_dataset_full_wave_retraining_2026_06_22

7

te_harmonic_regression_bw

harmonic_regression

0.003811

0.004529

0.003888

125

19m 57s

0.01 MB

Very Low

Medium

polished_dataset_full_wave_retraining_2026_06_22

8

te_harmonic_regression_fw

harmonic_regression

0.003819

0.004525

0.003900

125

10m 07s

0.01 MB

Very Low

Low

polished_dataset_full_wave_retraining_2026_06_22

9

te_harmonic_regression_global

harmonic_regression

0.003828

0.004545

0.003899

125

10m 24s

0.01 MB

Very Low

Low

polished_dataset_full_wave_retraining_2026_06_22

10

te_harmonic_order12_linear_conditioned_recovery_global

harmonic_regression

0.003839

0.004555

0.003904

125

11m 27s

0.01 MB

Very Low

Low

wave1_directional_retraining_campaign_2026_05_06_16_07_16

11

te_harmonic_regression_fw__polished_setpoints

harmonic_regression

0.018003

0.021015

0.017150

150

10m 33s

0.01 MB

Very Low

Low

dataset_input_mode_retraining__harmonic_regression__polished_setpoints

12

te_harmonic_regression_bw__polished_setpoints

harmonic_regression

0.018022

0.021014

0.017151

150

10m 14s

0.01 MB

Very Low

Low

dataset_input_mode_retraining__harmonic_regression__polished_setpoints

13

te_harmonic_regression_global__polished_setpoints

harmonic_regression

0.018032

0.021021

0.017141

150

10m 51s

0.01 MB

Very Low

Low

dataset_input_mode_retraining__harmonic_regression__polished_setpoints

14

te_harmonic_rcim_sparse_tracking_global

harmonic_regression

0.020767

0.022376

0.016995

114

6m 17s

0.01 MB

Very Low

Low

wave1_high_order_harmonic_tracking_campaign_2026_05_19_17_40_01

15

te_harmonic_order12_linear_conditioned_recovery_global_grid_order12_lr00005_stride5

harmonic_regression

0.020774

0.022412

0.017025

150

N/A

0.01 MB

Very Low

Unknown

standalone_or_unknown

16

te_harmonic_order12_linear_conditioned_recovery_global_grid_order12_lr0001_stride1

harmonic_regression

0.020775

0.022417

0.017013

150

N/A

0.01 MB

Very Low

Unknown

standalone_or_unknown

17

te_harmonic_order12_linear_conditioned_recovery_global

harmonic_regression

0.020779

0.022403

0.017017

150

N/A

0.01 MB

Very Low

Unknown

standalone_or_unknown

18

te_harmonic_dense360_tracking_global

harmonic_regression

0.020780

0.022399

0.016991

4,326

8m 57s

0.06 MB

Low

Low

wave1_high_order_harmonic_tracking_campaign_2026_05_19_17_40_01

19

te_harmonic_regression_fw__simplified_setpoints

harmonic_regression

0.020784

0.022910

0.016996

150

6m 09s

0.01 MB

Very Low

Low

dataset_input_mode_retraining__harmonic_regression__simplified_setpoints

20

te_harmonic_regression_global__simplified_setpoints

harmonic_regression

0.020784

0.022917

0.016993

150

6m 29s

0.01 MB

Very Low

Low

dataset_input_mode_retraining__harmonic_regression__simplified_setpoints

21

te_harmonic_dense240_tracking_global

harmonic_regression

0.020787

0.022388

0.016989

2,886

6m 02s

0.04 MB

Low

Low

wave1_high_order_harmonic_tracking_campaign_2026_05_19_17_40_01

22

te_harmonic_regression_bw__simplified_setpoints

harmonic_regression

0.020789

0.022914

0.016989

150

6m 28s

0.01 MB

Very Low

Low

dataset_input_mode_retraining__harmonic_regression__simplified_setpoints

harmonic_regression_fw

  • Best run: te_harmonic_regression_fw__polished_actual_values

  • Best test MAE: 0.002066

  • Completed tracked runs: 6

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_harmonic_dense360_tracking_Fw

harmonic_regression

0.002916

0.003237

0.002610

4,326

7m 00s

0.06 MB

Low

Low

wave1_high_order_harmonic_tracking_campaign_2026_05_19_17_40_01

2

te_harmonic_dense240_tracking_Fw

harmonic_regression

0.002935

0.003239

0.002593

2,886

5m 56s

0.04 MB

Low

Low

wave1_high_order_harmonic_tracking_campaign_2026_05_19_17_40_01

3

te_harmonic_rcim_sparse_tracking_Fw

harmonic_regression

0.002943

0.003254

0.002566

114

5m 05s

0.01 MB

Very Low

Low

wave1_high_order_harmonic_tracking_campaign_2026_05_19_17_40_01

4

te_harmonic_order12_linear_conditioned_recovery_Fw_grid_order8_lr00005_stride5

harmonic_regression

0.003101

0.003527

0.002848

102

N/A

0.01 MB

Very Low

Unknown

standalone_or_unknown

5

te_harmonic_order12_linear_conditioned_recovery_Fw_grid_order12_lr00005_stride5

harmonic_regression

0.003102

0.003528

0.002843

150

N/A

0.01 MB

Very Low

Unknown

standalone_or_unknown

6

te_harmonic_order12_linear_conditioned_recovery_Fw_grid_order12_lr00005_stride1

harmonic_regression

0.003105

0.003534

0.002839

150

N/A

0.01 MB

Very Low

Unknown

standalone_or_unknown

lstm_sequence

  • Best run: te_lstm_sequence_remote_global

  • Best test MAE: 0.003482

  • Completed tracked runs: 16

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_lstm_sequence_fw__polished_actual_values

lstm_sequence

0.002239

0.003319

0.002151

201,345

42m 07s

2.32 MB

Very High

High

dataset_input_mode_retraining__lstm_sequence__polished_actual_values

2

te_lstm_sequence_bw

lstm_sequence

0.002240

0.002892

0.002151

200,833

50m 56s

2.31 MB

Very High

High

polished_dataset_full_wave_retraining_2026_06_22

3

te_lstm_sequence_bw__polished_actual_values

lstm_sequence

0.002253

0.003321

0.002145

201,345

43m 50s

2.32 MB

Very High

High

dataset_input_mode_retraining__lstm_sequence__polished_actual_values

4

te_lstm_sequence_global

lstm_sequence

0.002258

0.002894

0.002151

200,833

52m 04s

2.31 MB

Very High

High

polished_dataset_full_wave_retraining_2026_06_22

5

te_lstm_sequence_bw

lstm_sequence

0.002259

0.002907

0.002147

200,833

27m 12s

2.31 MB

Very High

Medium

polished_dataset_full_wave_retraining_2026_06_22

6

te_lstm_sequence_global

lstm_sequence

0.002265

0.002905

0.002138

200,833

29m 43s

2.31 MB

Very High

Medium

polished_dataset_full_wave_retraining_2026_06_22

7

te_lstm_sequence_fw

lstm_sequence

0.002266

0.002915

0.002151

200,833

47m 50s

2.31 MB

Very High

High

polished_dataset_full_wave_retraining_2026_06_22

8

te_lstm_sequence_global__polished_actual_values

lstm_sequence

0.002281

0.003346

0.002189

201,345

29m 05s

2.32 MB

Very High

Medium

dataset_input_mode_retraining__lstm_sequence__polished_actual_values

9

te_lstm_sequence_fw

lstm_sequence

0.002282

0.002920

0.002169

200,833

22m 50s

2.31 MB

Very High

Medium

polished_dataset_full_wave_retraining_2026_06_22

10

te_lstm_sequence_fw__polished_setpoints

lstm_sequence

0.002464

0.003859

0.002191

201,345

15m 04s

2.32 MB

Very High

Medium

dataset_input_mode_retraining__lstm_sequence__polished_setpoints

11

te_lstm_sequence_bw__polished_setpoints

lstm_sequence

0.002469

0.003842

0.002200

201,345

17m 36s

2.32 MB

Very High

Medium

dataset_input_mode_retraining__lstm_sequence__polished_setpoints

12

te_lstm_sequence_global__polished_setpoints

lstm_sequence

0.002470

0.003855

0.002186

201,345

20m 05s

2.32 MB

Very High

Medium

dataset_input_mode_retraining__lstm_sequence__polished_setpoints

13

te_lstm_sequence_global__simplified_setpoints

lstm_sequence

0.003446

0.004293

0.003692

201,345

14m 41s

2.32 MB

Very High

Low

dataset_input_mode_retraining__lstm_sequence__simplified_setpoints

14

te_lstm_sequence_bw__simplified_setpoints

lstm_sequence

0.003463

0.004340

0.003677

201,345

12m 12s

2.32 MB

Very High

Low

dataset_input_mode_retraining__lstm_sequence__simplified_setpoints

15

te_lstm_sequence_remote_global

lstm_sequence

0.003482

0.003948

0.003681

201,345

9m 56s

2.32 MB

Very High

Low

wave2_temporal_model_entry_campaign_2026_05_24_11_01_15

16

te_lstm_sequence_fw__simplified_setpoints

lstm_sequence

0.003519

0.004378

0.003702

201,345

9m 50s

2.32 MB

Very High

Low

dataset_input_mode_retraining__lstm_sequence__simplified_setpoints

lstm_sequence_fw

  • Best run: te_lstm_sequence_fw__polished_actual_values

  • Best test MAE: 0.002239

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_lstm_sequence_remote_Fw

lstm_sequence

0.003370

0.003921

0.003448

201,345

4m 31s

2.32 MB

Very High

Low

wave2_temporal_model_entry_campaign_2026_05_24_11_01_15

periodic_gru_sequence_fw

  • Best run: te_periodic_gru_sequence_fw

  • Best test MAE: 0.001101

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_periodic_gru_sequence_remote_Fw

periodic_gru_sequence

0.003193

0.003583

0.003227

157,953

11m 11s

1.82 MB

Very High

Low

wave2b_harmonic_temporal_hybrid_campaign_2026_05_25

periodic_lstm_sequence_fw

  • Best run: te_periodic_lstm_sequence_fw

  • Best test MAE: 0.001547

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_periodic_lstm_sequence_remote_Fw

periodic_lstm_sequence

0.003274

0.003651

0.003254

210,561

9m 20s

2.43 MB

Very High

Low

wave2b_harmonic_temporal_hybrid_campaign_2026_05_25

periodic_mlp_fw

  • Best run: te_periodic_mlp_fw

  • Best test MAE: 0.001742

  • Completed tracked runs: 6

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_periodic_mlp_dense240_tracking_Fw

periodic_mlp

0.003055

0.003537

0.002541

87,681

13m 21s

1.03 MB

High

Low

wave1_periodic_mlp_explicit_harmonic_tracking_campaign_2026_05_20_22_42_49

2

te_periodic_mlp_rcim_sparse_tracking_Fw

periodic_mlp

0.003131

0.003578

0.002516

28,545

9m 28s

0.35 MB

Medium

Low

wave1_periodic_mlp_explicit_harmonic_tracking_campaign_2026_05_20_22_42_49

3

te_periodic_mlp_dense360_tracking_Fw

periodic_mlp

0.003155

0.003680

0.002524

118,401

12m 15s

1.38 MB

High

Low

wave1_periodic_mlp_explicit_harmonic_tracking_campaign_2026_05_20_22_42_49

4

te_periodic_mlp_h04_standard_Fw_optuna_t0008

periodic_mlp

0.003287

0.003833

0.002809

46,721

N/A

0.56 MB

Medium

Unknown

standalone_or_unknown

5

te_periodic_mlp_h04_standard_Fw_optuna_t0001

periodic_mlp

0.003294

0.003899

0.002751

27,777

N/A

0.34 MB

Medium

Unknown

standalone_or_unknown

6

te_periodic_mlp_h04_standard_Fw_optuna_t0015

periodic_mlp

0.003296

0.003924

0.002802

28,289

N/A

0.35 MB

Medium

Unknown

standalone_or_unknown

periodic_temporal_convolution_fw

  • Best run: te_periodic_temporal_convolution_fw__polished_actual_values

  • Best test MAE: 0.002077

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_periodic_temporal_convolution_sequence_remote_Fw

periodic_temporal_convolution

0.003337

0.003830

0.003321

158,529

8m 15s

1.83 MB

Very High

Low

wave2b_harmonic_temporal_hybrid_campaign_2026_05_25

quasi_static_compliance_pinn

  • Best run: N/A

  • Best test MAE: N/A

  • Completed tracked runs: 14

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_phase3_pinn_c1_linear_compliance_soft_fw_seed_314159__polished_setpoints

quasi_static_compliance_pinn

0.001472

0.001864

0.001676

7,212

7m 36s

0.11 MB

Low

Low

phase3_c1_fw_stability_repeat_2026_07_26

2

te_phase3_pinn_c1_linear_compliance_soft_fw__polished_setpoints

quasi_static_compliance_pinn

0.001495

0.001887

0.001702

7,212

7m 36s

0.11 MB

Low

Low

phase3_quasi_static_compliance_pinn_2026_07_26

3

te_phase3_pinn_c2_temperature_compliance_soft_fw__polished_setpoints

quasi_static_compliance_pinn

0.001551

0.001950

0.001672

7,212

7m 54s

0.11 MB

Low

Low

phase3_quasi_static_compliance_pinn_2026_07_26

4

te_phase3_pinn_c0_learned_mean_control_fw__polished_setpoints

quasi_static_compliance_pinn

0.001611

0.002017

0.001774

7,212

7m 12s

0.11 MB

Low

Low

phase3_quasi_static_compliance_pinn_2026_07_26

5

te_phase3_pinn_c2_temperature_compliance_soft_bw__polished_setpoints

quasi_static_compliance_pinn

0.001624

0.002068

0.001727

7,212

7m 39s

0.11 MB

Low

Low

phase3_quasi_static_compliance_pinn_2026_07_26

6

te_phase3_pinn_c3_nonlinear_compliance_soft_fw__polished_setpoints

quasi_static_compliance_pinn

0.001745

0.002209

0.001942

7,212

7m 40s

0.11 MB

Low

Low

phase3_quasi_static_compliance_pinn_2026_07_26

7

te_phase3_pinn_c0_learned_mean_control_bw__polished_setpoints

quasi_static_compliance_pinn

0.001825

0.002313

0.001927

7,212

7m 10s

0.11 MB

Low

Low

phase3_quasi_static_compliance_pinn_2026_07_26

8

te_phase3_pinn_c1_linear_compliance_soft_bw__polished_setpoints

quasi_static_compliance_pinn

0.001877

0.002386

0.001970

7,212

7m 32s

0.11 MB

Low

Low

phase3_quasi_static_compliance_pinn_2026_07_26

9

te_phase3_pinn_c1_linear_compliance_soft_fw_seed_271828__polished_setpoints

quasi_static_compliance_pinn

0.001898

0.002340

0.002123

7,212

7m 28s

0.11 MB

Low

Low

phase3_c1_fw_stability_repeat_2026_07_26

10

te_phase3_pinn_c3_nonlinear_compliance_soft_bw__polished_setpoints

quasi_static_compliance_pinn

0.001926

0.002441

0.002038

7,212

6m 44s

0.11 MB

Low

Low

phase3_quasi_static_compliance_pinn_2026_07_26

11

te_phase3_pinn_c0_learned_mean_control_global__polished_setpoints

quasi_static_compliance_pinn

0.002050

0.002529

0.001977

7,212

13m 20s

0.11 MB

Low

Low

phase3_quasi_static_compliance_pinn_2026_07_26

12

te_phase3_pinn_c4_hard_elastic_offset_fw__polished_setpoints

quasi_static_compliance_pinn

0.002087

0.002481

0.002301

5,611

7m 01s

0.09 MB

Low

Low

phase3_quasi_static_compliance_pinn_2026_07_26

13

te_phase3_pinn_c5_shared_stiffness_global__polished_setpoints

quasi_static_compliance_pinn

0.002103

0.002550

0.002448

5,611

13m 10s

0.09 MB

Low

Low

phase3_quasi_static_compliance_pinn_2026_07_26

14

te_phase3_pinn_c4_hard_elastic_offset_bw__polished_setpoints

quasi_static_compliance_pinn

0.002350

0.002859

0.002758

5,611

4m 18s

0.09 MB

Low

Low

phase3_quasi_static_compliance_pinn_2026_07_26

residual_harmonic_gru_sequence_fw_dense240

  • Best run: te_residual_harmonic_gru_sequence_remote_Fw_dense240

  • Best test MAE: 0.003219

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_residual_harmonic_gru_sequence_remote_Fw_dense240

residual_harmonic_gru_sequence

0.003219

0.003653

0.003270

151,522

8m 13s

1.75 MB

Very High

Low

wave2c_residual_harmonic_temporal_hybrid_campaign_2026_05_27

residual_harmonic_gru_sequence_fw_dense360

  • Best run: te_residual_harmonic_gru_sequence_remote_Fw_dense360

  • Best test MAE: 0.003241

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_residual_harmonic_gru_sequence_remote_Fw_dense360

residual_harmonic_gru_sequence

0.003241

0.003677

0.003265

151,762

11m 14s

1.75 MB

Very High

Low

wave2c_residual_harmonic_temporal_hybrid_campaign_2026_05_27

residual_harmonic_gru_sequence_fw_sparse_rcim

  • Best run: te_residual_harmonic_gru_sequence_remote_Fw_sparse_rcim

  • Best test MAE: 0.003200

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_residual_harmonic_gru_sequence_remote_Fw_sparse_rcim

residual_harmonic_gru_sequence

0.003200

0.003635

0.003309

151,060

5m 07s

1.75 MB

Very High

Low

wave2c_residual_harmonic_temporal_hybrid_campaign_2026_05_27

residual_harmonic_gru_sequence_sparse_rcim

  • Best run: te_residual_harmonic_gru_sequence_remote_global_sparse_rcim

  • Best test MAE: 0.002112

  • Completed tracked runs: 14

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_residual_harmonic_gru_sequence_sparse_rcim_fw

residual_harmonic_gru_sequence

0.002056

0.002645

0.001942

150,676

31m 46s

1.74 MB

Very High

Medium

polished_dataset_full_wave_retraining_2026_06_22

2

te_residual_harmonic_gru_sequence_sparse_rcim_global__polished_actual_values

residual_harmonic_gru_sequence

0.002062

0.003120

0.001938

151,060

39m 39s

1.75 MB

Very High

Medium

dataset_input_mode_retraining__residual_harmonic_gru_sequence_sparse_rcim__polished_actual_values

3

te_residual_harmonic_gru_sequence_sparse_rcim_fw__polished_actual_values

residual_harmonic_gru_sequence

0.002082

0.003139

0.001951

151,060

35m 40s

1.75 MB

Very High

Medium

dataset_input_mode_retraining__residual_harmonic_gru_sequence_sparse_rcim__polished_actual_values

4

te_residual_harmonic_gru_sequence_sparse_rcim_bw

residual_harmonic_gru_sequence

0.002083

0.002664

0.001955

150,676

25m 11s

1.74 MB

Very High

Medium

polished_dataset_full_wave_retraining_2026_06_22

5

te_residual_harmonic_gru_sequence_sparse_rcim_bw__polished_actual_values

residual_harmonic_gru_sequence

0.002083

0.003142

0.001953

151,060

36m 01s

1.75 MB

Very High

Medium

dataset_input_mode_retraining__residual_harmonic_gru_sequence_sparse_rcim__polished_actual_values

6

te_residual_harmonic_gru_sequence_sparse_rcim_global

residual_harmonic_gru_sequence

0.002104

0.002690

0.001973

150,676

22m 42s

1.74 MB

Very High

Medium

polished_dataset_full_wave_retraining_2026_06_22

7

te_residual_harmonic_gru_sequence_remote_global_sparse_rcim

residual_harmonic_gru_sequence

0.002112

0.002699

0.001978

150,676

24m 21s

1.74 MB

Very High

Medium

wave2c_residual_harmonic_temporal_hybrid_campaign_2026_05_27

8

te_residual_harmonic_gru_sequence_sparse_rcim_fw__polished_setpoints

residual_harmonic_gru_sequence

0.002279

0.003659

0.001985

151,060

24m 13s

1.75 MB

Very High

Medium

dataset_input_mode_retraining__residual_harmonic_gru_sequence_sparse_rcim__polished_setpoints

9

te_residual_harmonic_gru_sequence_sparse_rcim_global__polished_setpoints

residual_harmonic_gru_sequence

0.002357

0.003734

0.002032

151,060

13m 14s

1.75 MB

Very High

Low

dataset_input_mode_retraining__residual_harmonic_gru_sequence_sparse_rcim__polished_setpoints

10

te_residual_harmonic_gru_sequence_sparse_rcim_bw__polished_setpoints

residual_harmonic_gru_sequence

0.002369

0.003732

0.002059

151,060

10m 38s

1.75 MB

Very High

Low

dataset_input_mode_retraining__residual_harmonic_gru_sequence_sparse_rcim__polished_setpoints

11

te_residual_harmonic_gru_sequence_sparse_rcim_fw__simplified_setpoints

residual_harmonic_gru_sequence

0.003418

0.004220

0.003602

151,060

10m 51s

1.75 MB

Very High

Low

dataset_input_mode_retraining__residual_harmonic_gru_sequence_sparse_rcim__simplified_setpoints

12

te_residual_harmonic_gru_sequence_sparse_rcim_bw__simplified_setpoints

residual_harmonic_gru_sequence

0.003435

0.004261

0.003598

151,060

9m 46s

1.75 MB

Very High

Low

dataset_input_mode_retraining__residual_harmonic_gru_sequence_sparse_rcim__simplified_setpoints

13

te_residual_harmonic_gru_sequence_remote_global_sparse_rcim

residual_harmonic_gru_sequence

0.003440

0.003848

0.003607

151,060

11m 44s

1.75 MB

Very High

Low

wave2c_residual_harmonic_temporal_hybrid_campaign_2026_05_27

14

te_residual_harmonic_gru_sequence_sparse_rcim_global__simplified_setpoints

residual_harmonic_gru_sequence

0.003456

0.004304

0.003581

151,060

10m 22s

1.75 MB

Very High

Low

dataset_input_mode_retraining__residual_harmonic_gru_sequence_sparse_rcim__simplified_setpoints

residual_harmonic_lstm_sequence_fw_dense240

  • Best run: te_residual_harmonic_lstm_sequence_remote_Fw_dense240

  • Best test MAE: 0.003262

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_residual_harmonic_lstm_sequence_remote_Fw_dense240

residual_harmonic_lstm_sequence

0.003262

0.003706

0.003307

201,826

7m 24s

2.33 MB

Very High

Low

wave2c_residual_harmonic_temporal_hybrid_campaign_2026_05_27

residual_harmonic_lstm_sequence_fw_dense360

  • Best run: te_residual_harmonic_lstm_sequence_remote_Fw_dense360

  • Best test MAE: 0.003351

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_residual_harmonic_lstm_sequence_remote_Fw_dense360

residual_harmonic_lstm_sequence

0.003351

0.003774

0.003302

202,066

10m 20s

2.33 MB

Very High

Low

wave2c_residual_harmonic_temporal_hybrid_campaign_2026_05_27

residual_harmonic_lstm_sequence_fw_sparse_rcim

  • Best run: te_residual_harmonic_lstm_sequence_remote_Fw_sparse_rcim

  • Best test MAE: 0.003234

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_residual_harmonic_lstm_sequence_remote_Fw_sparse_rcim

residual_harmonic_lstm_sequence

0.003234

0.003679

0.003344

201,364

4m 50s

2.32 MB

Very High

Low

wave2c_residual_harmonic_temporal_hybrid_campaign_2026_05_27

residual_harmonic_mlp_fw

  • Best run: te_residual_harmonic_mlp_fw__polished_setpoints

  • Best test MAE: 0.001759

  • Completed tracked runs: 6

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_residual_harmonic_rcim_sparse_tracking_Fw

residual_harmonic_mlp

0.003089

0.003498

0.002704

26,260

4m 56s

0.32 MB

Medium

Low

wave1_high_order_harmonic_tracking_campaign_2026_05_19_17_40_01

2

te_residual_h12_deep_joint_wave1_Fw_optuna_t0005

residual_harmonic_mlp

0.003168

0.003871

0.002870

34,978

N/A

0.42 MB

Medium

Unknown

standalone_or_unknown

3

te_residual_h12_deep_joint_wave1_Fw_optuna_t0006

residual_harmonic_mlp

0.003194

0.003809

0.002827

26,266

N/A

0.32 MB

Medium

Unknown

standalone_or_unknown

4

te_residual_h12_deep_joint_wave1_Fw_optuna_t0009

residual_harmonic_mlp

0.003211

0.003828

0.002794

34,970

N/A

0.42 MB

Medium

Unknown

standalone_or_unknown

5

te_residual_harmonic_dense240_tracking_Fw

residual_harmonic_mlp

0.003304

0.003773

0.002649

26,722

5m 04s

0.33 MB

Medium

Low

wave1_high_order_harmonic_tracking_campaign_2026_05_19_17_40_01

6

te_residual_harmonic_dense360_tracking_Fw

residual_harmonic_mlp

0.003568

0.004118

0.002598

26,962

6m 12s

0.33 MB

Medium

Low

wave1_high_order_harmonic_tracking_campaign_2026_05_19_17_40_01

sequential_residual_offset_probe_fw

  • Best run: te_sequential_residual_offset_probe_remote_fw

  • Best test MAE: 0.003385

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_sequential_residual_offset_probe_remote_fw

sequential_residual_offset_probe

0.003385

0.003931

0.003380

92,802

12m 09s

1.09 MB

High

Low

track2f_offset_aware_probe_campaign_2026_06_03

shape_first_training_rule_distillation

  • Best run: N/A

  • Best test MAE: N/A

  • Completed tracked runs: 2

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_shape_first_distilled_periodic_mlp_harmonic_fw__polished_setpoints

periodic_mlp

0.001420

0.001866

0.001573

28,545

5m 06s

0.35 MB

Medium

Low

shape_first_training_rule_distillation_pilot_2026_07_22

2

te_shape_first_distilled_periodic_gru_sequence_fw__polished_setpoints

periodic_gru_sequence

0.001523

0.001920

0.002004

157,953

4m 15s

1.82 MB

Very High

Low

shape_first_training_rule_distillation_pilot_2026_07_22

shape_gate_loss_pilot_periodic_gru_sequence

  • Best run: N/A

  • Best test MAE: N/A

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_shape_gate_loss_periodic_gru_sequence_fw__polished_setpoints

periodic_gru_sequence

0.002522

0.003133

0.002297

157,953

8m 05s

1.82 MB

Very High

Low

shape_gate_loss_pilot_2026_07_20

shape_gate_loss_v2_checkpoint_selection_periodic_gru_sequence

  • Best run: N/A

  • Best test MAE: N/A

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_shape_gate_loss_v2_periodic_gru_sequence_fw__polished_setpoints

periodic_gru_sequence

0.001463

0.001831

0.001983

157,953

4m 43s

1.82 MB

Very High

Low

shape_gate_loss_v2_checkpoint_selection_pilot_2026_07_21

shape_objective_followup

  • Best run: N/A

  • Best test MAE: N/A

  • Completed tracked runs: 3

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_shape_objective_periodic_mlp_harmonic_fw__polished_setpoints

periodic_mlp

0.001236

0.001672

0.001429

28,545

9m 12s

0.35 MB

Medium

Low

parallel_shape_objective_followup_2026_07_21

2

te_shape_objective_v3_periodic_gru_sequence_fw__polished_setpoints

periodic_gru_sequence

0.001400

0.001756

0.001820

157,953

10m 14s

1.82 MB

Very High

Low

parallel_shape_objective_followup_2026_07_21

3

te_shape_objective_curve_aware_residual_fw__polished_setpoints

curve_aware_harmonic_residual_offset_probe

0.001463

0.001854

0.001972

85,747

8m 01s

1.00 MB

High

Low

parallel_shape_objective_followup_2026_07_21

temporal_convolution_fw

  • Best run: te_temporal_convolution_fw__polished_actual_values

  • Best test MAE: 0.002390

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_temporal_convolution_sequence_remote_Fw

temporal_convolution

0.003611

0.004183

0.003490

147,009

6m 45s

1.70 MB

High

Low

wave2_temporal_model_entry_campaign_2026_05_24_11_01_15

track2f_bis_clean_sequential_residual_offset_fw

  • Best run: te_track2f_bis_clean_residual_offset_fw

  • Best test MAE: 0.003446

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2f_bis_clean_residual_offset_fw

sequential_residual_offset_probe

0.003446

0.003972

0.003474

92,802

5m 16s

1.09 MB

High

Low

track2f_bis_harmonic_offset_probe_campaign_2026_06_04

track2f_bis_harmonic_residual_offset_fw

  • Best run: te_track2f_bis_harmonic_residual_offset_fw

  • Best test MAE: 0.002862

  • Completed tracked runs: 1

  • Known failed campaign attempts: 1

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2f_bis_harmonic_residual_offset_fw

harmonic_residual_offset_probe

0.002862

0.003334

0.002941

85,747

0s

1.00 MB

High

Very Low

track2f_bis_harmonic_offset_probe_campaign_2026_06_04

Known failed campaign attempts for this family:

  • te_track2f_bis_harmonic_residual_offset_fw | campaign track2f_bis_harmonic_offset_probe_campaign_2026_06_04 | model type harmonic_residual_offset_probe | error Unsupported Model Type for Campaign Runner | harmonic_residual_offset_probe | Supported: ['feedforward', 'gru_sequence', 'harmonic_regression', 'hist_gradient_boosting', 'lstm_sequence', 'periodic_gru_sequence', 'periodic_lstm_sequence', 'periodic_mlp', 'periodic_temporal_convolution', 'random_forest', 'residual_harmonic_gru_sequence', 'residual_harmonic_lstm_sequence', 'residual_harmonic_mlp', 'sequential_residual_offset_probe', 'temporal_convolution']

track2g_curve_aware_harmonic_residual_offset_full_curve_composite_fw

  • Best run: te_track2g_curve_aware_full_curve_composite_fw

  • Best test MAE: 0.003260

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2g_curve_aware_full_curve_composite_fw

curve_aware_harmonic_residual_offset_probe

0.003260

0.003630

0.003320

85,747

10m 35s

1.00 MB

High

Low

track2g_curve_aware_training_campaign_2026_06_08

track2g_curve_aware_harmonic_residual_offset_pointwise_control_fw

  • Best run: te_track2g_curve_aware_pointwise_control_fw

  • Best test MAE: 0.003371

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2g_curve_aware_pointwise_control_fw

curve_aware_harmonic_residual_offset_probe

0.003371

0.003763

0.003291

85,747

11m 40s

1.00 MB

High

Low

track2g_curve_aware_training_campaign_2026_06_08

track2g_curve_aware_harmonic_residual_offset_raw_centered_shape_fw

  • Best run: te_track2g_curve_aware_raw_centered_shape_fw

  • Best test MAE: 0.003181

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2g_curve_aware_raw_centered_shape_fw

curve_aware_harmonic_residual_offset_probe

0.003181

0.003571

0.003251

85,747

10m 48s

1.00 MB

High

Low

track2g_curve_aware_training_campaign_2026_06_08

track2g_curve_aware_harmonic_residual_offset_raw_offset_fw

  • Best run: te_track2g_curve_aware_raw_offset_fw

  • Best test MAE: 0.003279

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2g_curve_aware_raw_offset_fw

curve_aware_harmonic_residual_offset_probe

0.003279

0.003698

0.003328

85,747

7m 42s

1.00 MB

High

Low

track2g_curve_aware_training_campaign_2026_06_08

track2h_dispersion_aware_log_cosh_robust_fw

  • Best run: te_track2h_log_cosh_robust_fw

  • Best test MAE: 0.003355

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2h_log_cosh_robust_fw

curve_aware_harmonic_residual_offset_probe

0.003355

0.003708

0.003280

85,747

7m 56s

1.00 MB

High

Low

track2h_dispersion_aware_modeling_campaign_2026_06_10

track2h_dispersion_aware_mae_robust_fw

  • Best run: te_track2h_mae_robust_fw

  • Best test MAE: 0.003146

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2h_mae_robust_fw

curve_aware_harmonic_residual_offset_probe

0.003146

0.003527

0.003258

85,747

7m 09s

1.00 MB

High

Low

track2h_dispersion_aware_modeling_campaign_2026_06_10

track2h_dispersion_aware_smooth_l1_robust_fw

  • Best run: te_track2h_smooth_l1_robust_fw

  • Best test MAE: 0.003314

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2h_smooth_l1_robust_fw

curve_aware_harmonic_residual_offset_probe

0.003314

0.003679

0.003235

85,747

7m 42s

1.00 MB

High

Low

track2h_dispersion_aware_modeling_campaign_2026_06_10

track2h_latent_state_hysteresis_causal_tcn_offset_residual_fw

  • Best run: te_track2h_l_causal_tcn_offset_residual_fw

  • Best test MAE: 0.003470

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2h_l_causal_tcn_offset_residual_fw

latent_state_hysteresis_probe

0.003470

0.004068

0.003565

97,923

5m 24s

1.17 MB

High

Low

track2h_latent_state_hysteresis_campaign_2026_06_16

track2h_latent_state_hysteresis_gru_offset_residual_fw

  • Best run: te_track2h_l_gru_offset_residual_fw

  • Best test MAE: 0.003537

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2h_l_gru_offset_residual_fw

latent_state_hysteresis_probe

0.003537

0.004110

0.003468

125,475

10m 34s

1.48 MB

High

Low

track2h_latent_state_hysteresis_campaign_2026_06_16

track2h_mixture_density_heads_mdn_k2_fw

  • Best run: te_track2h_mdn_k2_fw

  • Best test MAE: 0.003339

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2h_mdn_k2_fw

curve_aware_harmonic_residual_offset_probe

0.003339

0.003721

0.003285

86,802

9m 01s

1.01 MB

High

Low

track2h_mixture_density_heads_campaign_2026_06_13

track2h_mixture_density_heads_mdn_k3_fw

  • Best run: te_track2h_mdn_k3_fw

  • Best test MAE: 0.003235

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2h_mdn_k3_fw

curve_aware_harmonic_residual_offset_probe

0.003235

0.003613

0.003253

87,435

8m 40s

1.02 MB

High

Low

track2h_mixture_density_heads_campaign_2026_06_13

track2h_quantile_probabilistic_gaussian_nll_fw

  • Best run: te_track2h_gaussian_nll_fw

  • Best test MAE: 0.003165

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2h_gaussian_nll_fw

curve_aware_harmonic_residual_offset_probe

0.003165

0.003548

0.003293

85,958

13m 18s

1.00 MB

High

Low

track2h_quantile_probabilistic_campaign_2026_06_12

track2h_quantile_probabilistic_quantile_p10_p50_p90_fw

  • Best run: te_track2h_quantile_p10_p50_p90_fw

  • Best test MAE: 0.003285

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2h_quantile_p10_p50_p90_fw

curve_aware_harmonic_residual_offset_probe

0.003285

0.003668

0.003269

86,169

8m 53s

1.01 MB

High

Low

track2h_quantile_probabilistic_campaign_2026_06_12

tree_fw

  • Best run: te_tree_fw__polished_setpoints

  • Best test MAE: 0.001699

  • Completed tracked runs: 3

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_hist_gbr_tabular_Fw_grid_depth6_lr008_leaf10

hist_gradient_boosting

0.002743

0.003409

0.002677

5

N/A

0.45 MB

Very Low

Unknown

standalone_or_unknown

2

te_hist_gbr_tabular_Fw_grid_depth6_lr008_leaf20

hist_gradient_boosting

0.002743

0.003409

0.002677

5

N/A

0.45 MB

Very Low

Unknown

standalone_or_unknown

3

te_hist_gbr_tabular_Fw

hist_gradient_boosting

0.002845

0.003476

0.002666

5

N/A

0.50 MB

Very Low

Unknown

standalone_or_unknown

wave3_3_curve_aware_pointwise_control

  • Best run: N/A

  • Best test MAE: N/A

  • Completed tracked runs: 12

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_wave3_3_curve_aware_pointwise_control_fw

curve_aware_harmonic_residual_offset_probe

0.001919

0.002463

0.001792

85,440

40m 19s

1.00 MB

High

High

polished_dataset_full_wave_retraining_2026_06_22

2

te_wave3_3_curve_aware_pointwise_control_bw

curve_aware_harmonic_residual_offset_probe

0.001925

0.002473

0.001815

85,440

36m 27s

1.00 MB

High

Medium

polished_dataset_full_wave_retraining_2026_06_22

3

te_wave3_3_curve_aware_pointwise_control_fw__polished_actual_values

curve_aware_harmonic_residual_offset_probe

0.001943

0.002977

0.001833

85,747

57m 11s

1.00 MB

High

High

dataset_input_mode_retraining__wave3_3_curve_aware_pointwise_control__polished_actual_values

4

te_wave3_3_curve_aware_pointwise_control_global

curve_aware_harmonic_residual_offset_probe

0.001971

0.002514

0.001837

85,440

27m 33s

1.00 MB

High

Medium

polished_dataset_full_wave_retraining_2026_06_22

5

te_wave3_3_curve_aware_pointwise_control_bw__polished_actual_values

curve_aware_harmonic_residual_offset_probe

0.001984

0.003019

0.001850

85,747

44m 29s

1.00 MB

High

High

dataset_input_mode_retraining__wave3_3_curve_aware_pointwise_control__polished_actual_values

6

te_wave3_3_curve_aware_pointwise_control_global__polished_actual_values

curve_aware_harmonic_residual_offset_probe

0.001987

0.003027

0.001850

85,747

50m 15s

1.00 MB

High

High

dataset_input_mode_retraining__wave3_3_curve_aware_pointwise_control__polished_actual_values

7

te_wave3_3_curve_aware_pointwise_control_fw__polished_setpoints

curve_aware_harmonic_residual_offset_probe

0.002239

0.003598

0.001915

85,747

30m 14s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave3_3_curve_aware_pointwise_control__polished_setpoints

8

te_wave3_3_curve_aware_pointwise_control_global__polished_setpoints

curve_aware_harmonic_residual_offset_probe

0.002241

0.003595

0.001931

85,747

40m 18s

1.00 MB

High

High

dataset_input_mode_retraining__wave3_3_curve_aware_pointwise_control__polished_setpoints

9

te_wave3_3_curve_aware_pointwise_control_bw__polished_setpoints

curve_aware_harmonic_residual_offset_probe

0.002254

0.003612

0.001954

85,747

29m 48s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave3_3_curve_aware_pointwise_control__polished_setpoints

10

te_wave3_3_curve_aware_pointwise_control_fw__simplified_setpoints

curve_aware_harmonic_residual_offset_probe

0.003400

0.004125

0.003618

85,747

26m 58s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave3_3_curve_aware_pointwise_control__simplified_setpoints

11

te_wave3_3_curve_aware_pointwise_control_global__simplified_setpoints

curve_aware_harmonic_residual_offset_probe

0.003445

0.004177

0.003585

85,747

35m 06s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave3_3_curve_aware_pointwise_control__simplified_setpoints

12

te_wave3_3_curve_aware_pointwise_control_bw__simplified_setpoints

curve_aware_harmonic_residual_offset_probe

0.003495

0.004252

0.003630

85,747

27m 25s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave3_3_curve_aware_pointwise_control__simplified_setpoints

wave3_harmonic_prior_residual_pointwise_control_fw

  • Best run: te_wave3_harmonic_prior_residual_pointwise_control_fw

  • Best test MAE: 0.003382

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_wave3_harmonic_prior_residual_pointwise_control_fw

wave3_harmonic_prior_residual

0.003382

0.003779

0.003315

7,283

7m 10s

0.11 MB

Low

Low

wave3_harmonic_prior_residual_campaign_2026_06_14

wave3_harmonic_prior_residual_smooth_l1_structured_fw

  • Best run: te_wave3_harmonic_prior_residual_smooth_l1_structured_fw

  • Best test MAE: 0.003527

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_wave3_harmonic_prior_residual_smooth_l1_structured_fw

wave3_harmonic_prior_residual

0.003527

0.003900

0.003310

7,283

7m 28s

0.11 MB

Low

Low

wave3_harmonic_prior_residual_campaign_2026_06_14

wave4_1_smooth_l1_robust_loss

  • Best run: N/A

  • Best test MAE: N/A

  • Completed tracked runs: 12

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_wave4_1_smooth_l1_robust_loss_fw__polished_actual_values

curve_aware_harmonic_residual_offset_probe

0.001956

0.002999

0.001835

85,747

56m 18s

1.00 MB

High

High

dataset_input_mode_retraining__wave4_1_smooth_l1_robust_loss__polished_actual_values

2

te_wave4_1_smooth_l1_robust_loss_bw

curve_aware_harmonic_residual_offset_probe

0.001968

0.002515

0.001851

85,440

24m 11s

1.00 MB

High

Medium

polished_dataset_full_wave_retraining_2026_06_22

3

te_wave4_1_smooth_l1_robust_loss_fw

curve_aware_harmonic_residual_offset_probe

0.001986

0.002536

0.001841

85,440

23m 12s

1.00 MB

High

Medium

polished_dataset_full_wave_retraining_2026_06_22

4

te_wave4_1_smooth_l1_robust_loss_bw__polished_actual_values

curve_aware_harmonic_residual_offset_probe

0.002011

0.003057

0.001894

85,747

32m 04s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave4_1_smooth_l1_robust_loss__polished_actual_values

5

te_wave4_1_smooth_l1_robust_loss_global

curve_aware_harmonic_residual_offset_probe

0.002017

0.002559

0.001866

85,440

22m 21s

1.00 MB

High

Medium

polished_dataset_full_wave_retraining_2026_06_22

6

te_wave4_1_smooth_l1_robust_loss_global__polished_actual_values

curve_aware_harmonic_residual_offset_probe

0.002028

0.003067

0.001882

85,747

36m 44s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave4_1_smooth_l1_robust_loss__polished_actual_values

7

te_wave4_1_smooth_l1_robust_loss_global__polished_setpoints

curve_aware_harmonic_residual_offset_probe

0.002182

0.003551

0.001902

85,747

39m 33s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave4_1_smooth_l1_robust_loss__polished_setpoints

8

te_wave4_1_smooth_l1_robust_loss_fw__polished_setpoints

curve_aware_harmonic_residual_offset_probe

0.002233

0.003602

0.001929

85,747

26m 00s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave4_1_smooth_l1_robust_loss__polished_setpoints

9

te_wave4_1_smooth_l1_robust_loss_bw__polished_setpoints

curve_aware_harmonic_residual_offset_probe

0.002256

0.003638

0.001938

85,747

33m 23s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave4_1_smooth_l1_robust_loss__polished_setpoints

10

te_wave4_1_smooth_l1_robust_loss_global__simplified_setpoints

curve_aware_harmonic_residual_offset_probe

0.003373

0.004139

0.003640

85,747

24m 55s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave4_1_smooth_l1_robust_loss__simplified_setpoints

11

te_wave4_1_smooth_l1_robust_loss_fw__simplified_setpoints

curve_aware_harmonic_residual_offset_probe

0.003411

0.004234

0.003536

85,747

24m 34s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave4_1_smooth_l1_robust_loss__simplified_setpoints

12

te_wave4_1_smooth_l1_robust_loss_bw__simplified_setpoints

curve_aware_harmonic_residual_offset_probe

0.003462

0.004219

0.003578

85,747

28m 15s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave4_1_smooth_l1_robust_loss__simplified_setpoints

wave4_2_gaussian_nll

  • Best run: N/A

  • Best test MAE: N/A

  • Completed tracked runs: 12

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_wave4_2_gaussian_nll_fw

curve_aware_harmonic_residual_offset_probe

0.001914

0.002482

0.001739

85,632

1h 02m 58s

1.00 MB

High

High

polished_dataset_full_wave_retraining_2026_06_22

2

te_wave4_2_gaussian_nll_bw

curve_aware_harmonic_residual_offset_probe

0.001927

0.002482

0.001778

85,632

49m 15s

1.00 MB

High

High

polished_dataset_full_wave_retraining_2026_06_22

3

te_wave4_2_gaussian_nll_global

curve_aware_harmonic_residual_offset_probe

0.002001

0.002576

0.001825

85,632

31m 45s

1.00 MB

High

Medium

polished_dataset_full_wave_retraining_2026_06_22

4

te_wave4_2_gaussian_nll_bw__polished_actual_values

curve_aware_harmonic_residual_offset_probe

0.002032

0.003297

0.001806

85,958

58m 20s

1.00 MB

High

High

dataset_input_mode_retraining__wave4_2_gaussian_nll__polished_actual_values

5

te_wave4_2_gaussian_nll_fw__polished_actual_values

curve_aware_harmonic_residual_offset_probe

0.002113

0.003566

0.001816

85,958

57m 47s

1.00 MB

High

High

dataset_input_mode_retraining__wave4_2_gaussian_nll__polished_actual_values

6

te_wave4_2_gaussian_nll_global__polished_setpoints

curve_aware_harmonic_residual_offset_probe

0.002210

0.003605

0.001882

85,958

56m 32s

1.00 MB

High

High

dataset_input_mode_retraining__wave4_2_gaussian_nll__polished_setpoints

7

te_wave4_2_gaussian_nll_bw__polished_setpoints

curve_aware_harmonic_residual_offset_probe

0.084400

0.105673

0.084195

85,958

9m 58s

1.00 MB

High

Low

dataset_input_mode_retraining__wave4_2_gaussian_nll__polished_setpoints

8

te_wave4_2_gaussian_nll_fw__polished_setpoints

curve_aware_harmonic_residual_offset_probe

0.087134

0.109389

0.088198

85,958

9m 59s

1.00 MB

High

Low

dataset_input_mode_retraining__wave4_2_gaussian_nll__polished_setpoints

9

te_wave4_2_gaussian_nll_fw__simplified_setpoints

curve_aware_harmonic_residual_offset_probe

0.092190

0.115726

0.091721

85,958

8m 34s

1.00 MB

High

Low

dataset_input_mode_retraining__wave4_2_gaussian_nll__simplified_setpoints

10

te_wave4_2_gaussian_nll_bw__simplified_setpoints

curve_aware_harmonic_residual_offset_probe

0.099431

0.123764

0.100961

85,958

8m 28s

1.00 MB

High

Low

dataset_input_mode_retraining__wave4_2_gaussian_nll__simplified_setpoints

11

te_wave4_2_gaussian_nll_global__polished_actual_values

curve_aware_harmonic_residual_offset_probe

0.101119

0.123836

0.101972

85,958

10m 10s

1.00 MB

High

Low

dataset_input_mode_retraining__wave4_2_gaussian_nll__polished_actual_values

12

te_wave4_2_gaussian_nll_global__simplified_setpoints

curve_aware_harmonic_residual_offset_probe

0.109411

0.135984

0.110745

85,958

8m 22s

1.00 MB

High

Low

dataset_input_mode_retraining__wave4_2_gaussian_nll__simplified_setpoints

wave4_3_mixture_density_k2

  • Best run: N/A

  • Best test MAE: N/A

  • Completed tracked runs: 12

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_wave4_3_mixture_density_k2_fw

curve_aware_harmonic_residual_offset_probe

0.001698

0.002196

0.001493

86,400

1h 13m 02s

1.01 MB

High

High

polished_dataset_full_wave_retraining_2026_06_22

2

te_wave4_3_mixture_density_k2_bw

curve_aware_harmonic_residual_offset_probe

0.001725

0.002226

0.001528

86,400

49m 12s

1.01 MB

High

High

polished_dataset_full_wave_retraining_2026_06_22

3

te_wave4_3_mixture_density_k2_global

curve_aware_harmonic_residual_offset_probe

0.001743

0.002245

0.001550

86,400

51m 39s

1.01 MB

High

High

polished_dataset_full_wave_retraining_2026_06_22

4

te_wave4_3_mixture_density_k2_fw__polished_actual_values

curve_aware_harmonic_residual_offset_probe

0.001936

0.003224

0.001725

86,802

1h 00m 26s

1.01 MB

High

High

dataset_input_mode_retraining__wave4_3_mixture_density_k2__polished_actual_values

5

te_wave4_3_mixture_density_k2_global__polished_actual_values

curve_aware_harmonic_residual_offset_probe

0.001975

0.003299

0.001755

86,802

57m 21s

1.01 MB

High

High

dataset_input_mode_retraining__wave4_3_mixture_density_k2__polished_actual_values

6

te_wave4_3_mixture_density_k2_bw__polished_actual_values

curve_aware_harmonic_residual_offset_probe

0.002086

0.003379

0.001801

86,802

31m 03s

1.01 MB

High

Medium

dataset_input_mode_retraining__wave4_3_mixture_density_k2__polished_actual_values

7

te_wave4_3_mixture_density_k2_fw__polished_setpoints

curve_aware_harmonic_residual_offset_probe

0.002155

0.003552

0.001850

86,802

32m 24s

1.01 MB

High

Medium

dataset_input_mode_retraining__wave4_3_mixture_density_k2__polished_setpoints

8

te_wave4_3_mixture_density_k2_bw__polished_setpoints

curve_aware_harmonic_residual_offset_probe

0.002160

0.003580

0.001817

86,802

46m 56s

1.01 MB

High

High

dataset_input_mode_retraining__wave4_3_mixture_density_k2__polished_setpoints

9

te_wave4_3_mixture_density_k2_global__polished_setpoints

curve_aware_harmonic_residual_offset_probe

0.002221

0.003626

0.001863

86,802

37m 16s

1.01 MB

High

Medium

dataset_input_mode_retraining__wave4_3_mixture_density_k2__polished_setpoints

10

te_wave4_3_mixture_density_k2_global__simplified_setpoints

curve_aware_harmonic_residual_offset_probe

0.003256

0.004035

0.003468

86,802

49m 25s

1.01 MB

High

High

dataset_input_mode_retraining__wave4_3_mixture_density_k2__simplified_setpoints

11

te_wave4_3_mixture_density_k2_fw__simplified_setpoints

curve_aware_harmonic_residual_offset_probe

0.003283

0.004147

0.003467

86,802

51m 03s

1.01 MB

High

High

dataset_input_mode_retraining__wave4_3_mixture_density_k2__simplified_setpoints

12

te_wave4_3_mixture_density_k2_bw__simplified_setpoints

curve_aware_harmonic_residual_offset_probe

0.003481

0.004230

0.003608

86,802

42m 44s

1.01 MB

High

High

dataset_input_mode_retraining__wave4_3_mixture_density_k2__simplified_setpoints

wave52b_offset_harmonic_guided_offset_centered_shape_fw

  • Best run: te_wave52b_offset_harmonic_guided_offset_centered_shape_fw

  • Best test MAE: 0.001931

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_wave52b_offset_harmonic_guided_offset_centered_shape_fw

wave52b_offset_harmonic_guided

0.001931

0.002445

0.002258

22,593

36m 47s

0.30 MB

Medium

Medium

wave52b_offset_harmonic_guided_campaign_2026_07_01

wave52b_offset_harmonic_guided_offset_centered_shape_harmonic_fw

  • Best run: te_wave52b_offset_harmonic_guided_offset_centered_shape_harmonic_fw

  • Best test MAE: 0.001392

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_wave52b_offset_harmonic_guided_offset_centered_shape_harmonic_fw

wave52b_offset_harmonic_guided

0.001392

0.001771

0.001809

22,593

32m 31s

0.30 MB

Medium

Medium

wave52b_offset_harmonic_guided_campaign_2026_07_01

wave52b_offset_harmonic_guided_offset_head_fw

  • Best run: te_wave52b_offset_harmonic_guided_offset_head_fw

  • Best test MAE: 0.001948

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_wave52b_offset_harmonic_guided_offset_head_fw

wave52b_offset_harmonic_guided

0.001948

0.002454

0.002256

22,593

21m 45s

0.30 MB

Medium

Medium

wave52b_offset_harmonic_guided_campaign_2026_07_01

wave52b_offset_harmonic_guided_pointwise_control_fw

  • Best run: te_wave52b_offset_harmonic_guided_pointwise_control_fw

  • Best test MAE: 0.002054

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_wave52b_offset_harmonic_guided_pointwise_control_fw

wave52b_offset_harmonic_guided

0.002054

0.002564

0.002344

22,593

18m 48s

0.30 MB

Medium

Medium

wave52b_offset_harmonic_guided_campaign_2026_07_01

Backward Models

feedforward

  • Best run: te_feedforward_trial

  • Best test MAE: 0.002877

  • Completed tracked runs: 19

  • Known failed campaign attempts: 1

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_feedforward_bw

feedforward

0.001686

0.002175

0.001630

109,697

1h 02m 27s

1.28 MB

High

High

polished_dataset_full_wave_retraining_2026_06_22

2

te_feedforward_bw

feedforward

0.001719

0.002205

0.001606

109,697

3h 19m 34s

1.28 MB

High

Very High

polished_dataset_full_wave_retraining_2026_06_22

3

te_feedforward_fw

feedforward

0.001726

0.002205

0.001628

109,697

1h 44m 25s

1.28 MB

High

Very High

polished_dataset_full_wave_retraining_2026_06_22

4

te_feedforward_global

feedforward

0.001734

0.002220

0.001637

109,697

2h 35m 35s

1.28 MB

High

Very High

polished_dataset_full_wave_retraining_2026_06_22

5

te_feedforward_fw__polished_actual_values

feedforward

0.001758

0.002736

0.001616

109,953

34m 06s

1.28 MB

High

Medium

dataset_input_mode_retraining__feedforward__polished_actual_values

6

te_feedforward_fw

feedforward

0.001766

0.002254

0.001654

109,697

45m 44s

1.28 MB

High

High

polished_dataset_full_wave_retraining_2026_06_22

7

te_feedforward_global

feedforward

0.001790

0.002281

0.001672

109,697

40m 07s

1.28 MB

High

High

polished_dataset_full_wave_retraining_2026_06_22

8

te_feedforward_global__polished_actual_values

feedforward

0.001809

0.002784

0.001608

109,953

30m 52s

1.28 MB

High

Medium

dataset_input_mode_retraining__feedforward__polished_actual_values

9

te_feedforward_bw__polished_actual_values

feedforward

0.001833

0.002792

0.001647

109,953

22m 41s

1.28 MB

High

Medium

dataset_input_mode_retraining__feedforward__polished_actual_values

10

te_feedforward_bw__polished_setpoints

feedforward

0.001853

0.002874

0.001641

109,953

18m 02s

1.28 MB

High

Medium

dataset_input_mode_retraining__feedforward__polished_setpoints

11

te_feedforward_fw__polished_setpoints

feedforward

0.001938

0.002950

0.001683

109,953

15m 36s

1.28 MB

High

Medium

dataset_input_mode_retraining__feedforward__polished_setpoints

12

te_feedforward_global__polished_setpoints

feedforward

0.001999

0.003006

0.001691

109,953

15m 04s

1.28 MB

High

Medium

dataset_input_mode_retraining__feedforward__polished_setpoints

13

te_feedforward_trial

feedforward

0.002877

0.003835

0.002725

26,113

3m 27s

0.32 MB

Medium

Low

polished_dataset_stage1_smoke_2026_06_21

14

te_feedforward_stride1_high_compute_long_remote_global

feedforward

0.003150

0.003603

0.003056

109,953

N/A

1.28 MB

High

Unknown

standalone_or_unknown

15

te_feedforward_stride1_high_compute_long_remote_global_optuna_t0017

feedforward

0.003208

0.003810

0.002962

43,649

N/A

0.52 MB

Medium

Unknown

standalone_or_unknown

16

te_feedforward_stride1_high_compute_long_remote_global_optuna_t0012

feedforward

0.003217

0.003847

0.003014

43,649

N/A

0.52 MB

Medium

Unknown

standalone_or_unknown

17

te_feedforward_global__simplified_setpoints

feedforward

0.003243

0.003875

0.002968

109,953

18m 18s

1.28 MB

High

Medium

dataset_input_mode_retraining__feedforward__simplified_setpoints

18

te_feedforward_bw__simplified_setpoints

feedforward

0.003341

0.003986

0.002974

109,953

21m 55s

1.28 MB

High

Medium

dataset_input_mode_retraining__feedforward__simplified_setpoints

19

te_feedforward_fw__simplified_setpoints

feedforward

0.003423

0.004082

0.002999

109,953

13m 30s

1.28 MB

High

Low

dataset_input_mode_retraining__feedforward__simplified_setpoints

Known failed campaign attempts for this family:

  • te_feedforward_trial | campaign polished_dataset_stage1_smoke_2026_06_21 | model type feedforward | error invalid literal for int() with base 10: 'auto'

feedforward_bw

  • Best run: te_feedforward_bw

  • Best test MAE: 0.001686

  • Completed tracked runs: 3

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_feedforward_stride1_high_compute_long_remote_Bw_optuna_t0005

feedforward

0.003099

0.003630

0.003018

167,937

N/A

1.95 MB

Very High

Unknown

standalone_or_unknown

2

te_feedforward_stride1_high_compute_long_remote_Bw_optuna_t0013

feedforward

0.003106

0.003700

0.002989

109,953

N/A

1.28 MB

High

Unknown

standalone_or_unknown

3

te_feedforward_stride1_high_compute_long_remote_Bw_optuna_t0016

feedforward

0.003173

0.003818

0.002901

167,937

N/A

1.95 MB

Very High

Unknown

standalone_or_unknown

gru_sequence_bw

  • Best run: te_gru_sequence_bw

  • Best test MAE: 0.002230

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_gru_sequence_remote_Bw

gru_sequence

0.003631

0.004297

0.003867

151,041

6m 29s

1.74 MB

Very High

Low

wave2_temporal_model_entry_campaign_2026_05_24_11_01_15

harmonic_regression_bw

  • Best run: te_harmonic_regression_bw__polished_actual_values

  • Best test MAE: 0.002076

  • Completed tracked runs: 6

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_harmonic_dense240_tracking_Bw

harmonic_regression

0.003400

0.003886

0.003588

2,886

5m 00s

0.04 MB

Low

Low

wave1_high_order_harmonic_tracking_campaign_2026_05_19_17_40_01

2

te_harmonic_dense360_tracking_Bw

harmonic_regression

0.003403

0.003866

0.003637

4,326

6m 43s

0.06 MB

Low

Low

wave1_high_order_harmonic_tracking_campaign_2026_05_19_17_40_01

3

te_harmonic_rcim_sparse_tracking_Bw

harmonic_regression

0.003406

0.003894

0.003570

114

5m 56s

0.01 MB

Very Low

Low

wave1_high_order_harmonic_tracking_campaign_2026_05_19_17_40_01

4

te_harmonic_order12_linear_conditioned_recovery_Bw_grid_order8_lr0002_stride5

harmonic_regression

0.003494

0.004081

0.003638

102

N/A

0.01 MB

Very Low

Unknown

standalone_or_unknown

5

te_harmonic_order12_linear_conditioned_recovery_Bw_grid_order8_lr00005_stride1

harmonic_regression

0.003497

0.004053

0.003743

102

N/A

0.01 MB

Very Low

Unknown

standalone_or_unknown

6

te_harmonic_order12_linear_conditioned_recovery_Bw_grid_order12_lr00005_stride5

harmonic_regression

0.003506

0.004063

0.003729

150

N/A

0.01 MB

Very Low

Unknown

standalone_or_unknown

lstm_sequence_bw

  • Best run: te_lstm_sequence_bw

  • Best test MAE: 0.002240

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_lstm_sequence_remote_Bw

lstm_sequence

0.003557

0.004201

0.003815

201,345

6m 29s

2.32 MB

Very High

Low

wave2_temporal_model_entry_campaign_2026_05_24_11_01_15

periodic_gru_sequence

  • Best run: te_periodic_gru_sequence_remote_global

  • Best test MAE: 0.001279

  • Completed tracked runs: 17

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_periodic_gru_sequence_bw

periodic_gru_sequence

0.001084

0.001393

0.001088

157,569

1h 21m 37s

1.82 MB

Very High

High

polished_dataset_full_wave_retraining_2026_06_22

2

te_periodic_gru_sequence_fw

periodic_gru_sequence

0.001101

0.001409

0.001099

157,569

1h 20m 41s

1.82 MB

Very High

High

polished_dataset_full_wave_retraining_2026_06_22

3

te_periodic_gru_sequence_fw

periodic_gru_sequence

0.001121

0.001444

0.001084

157,569

45m 23s

1.82 MB

Very High

High

polished_dataset_full_wave_retraining_2026_06_22

4

te_periodic_gru_sequence_global

periodic_gru_sequence

0.001159

0.001465

0.001132

157,569

41m 27s

1.82 MB

Very High

High

polished_dataset_full_wave_retraining_2026_06_22

5

te_periodic_gru_sequence_bw

periodic_gru_sequence

0.001166

0.001481

0.001158

157,569

45m 02s

1.82 MB

Very High

High

polished_dataset_full_wave_retraining_2026_06_22

6

te_periodic_gru_sequence_global

periodic_gru_sequence

0.001257

0.001613

0.001252

157,569

1h 02m 53s

1.82 MB

Very High

High

polished_dataset_full_wave_retraining_2026_06_22

7

te_periodic_gru_sequence_remote_global

periodic_gru_sequence

0.001279

0.001638

0.001274

157,569

40m 03s

1.82 MB

Very High

High

wave2b_harmonic_temporal_hybrid_campaign_2026_05_25

8

te_periodic_gru_sequence_bw__polished_actual_values

periodic_gru_sequence

0.001343

0.001978

0.001279

157,953

42m 38s

1.82 MB

Very High

High

dataset_input_mode_retraining__periodic_gru_sequence__polished_actual_values

9

te_periodic_gru_sequence_global__polished_actual_values

periodic_gru_sequence

0.001390

0.002058

0.001322

157,953

43m 44s

1.82 MB

Very High

High

dataset_input_mode_retraining__periodic_gru_sequence__polished_actual_values

10

te_periodic_gru_sequence_fw__polished_actual_values

periodic_gru_sequence

0.001561

0.002360

0.001501

157,953

40m 09s

1.82 MB

Very High

High

dataset_input_mode_retraining__periodic_gru_sequence__polished_actual_values

11

te_periodic_gru_sequence_fw__polished_setpoints

periodic_gru_sequence

0.002108

0.003430

0.001832

157,953

20m 46s

1.82 MB

Very High

Medium

dataset_input_mode_retraining__periodic_gru_sequence__polished_setpoints

12

te_periodic_gru_sequence_global__polished_setpoints

periodic_gru_sequence

0.002143

0.003467

0.001867

157,953

13m 48s

1.82 MB

Very High

Low

dataset_input_mode_retraining__periodic_gru_sequence__polished_setpoints

13

te_periodic_gru_sequence_bw__polished_setpoints

periodic_gru_sequence

0.002168

0.003506

0.001898

157,953

11m 27s

1.82 MB

Very High

Low

dataset_input_mode_retraining__periodic_gru_sequence__polished_setpoints

14

te_periodic_gru_sequence_remote_global

periodic_gru_sequence

0.002681

0.002971

0.002507

157,953

1h 00m 14s

1.82 MB

Very High

High

wave2b_harmonic_temporal_hybrid_campaign_2026_05_25

15

te_periodic_gru_sequence_bw__simplified_setpoints

periodic_gru_sequence

0.003250

0.003969

0.003500

157,953

9m 58s

1.82 MB

Very High

Low

dataset_input_mode_retraining__periodic_gru_sequence__simplified_setpoints

16

te_periodic_gru_sequence_global__simplified_setpoints

periodic_gru_sequence

0.003332

0.004068

0.003477

157,953

9m 35s

1.82 MB

Very High

Low

dataset_input_mode_retraining__periodic_gru_sequence__simplified_setpoints

17

te_periodic_gru_sequence_fw__simplified_setpoints

periodic_gru_sequence

0.003368

0.004076

0.003532

157,953

9m 05s

1.82 MB

Very High

Low

dataset_input_mode_retraining__periodic_gru_sequence__simplified_setpoints

periodic_gru_sequence_bw

  • Best run: te_periodic_gru_sequence_bw

  • Best test MAE: 0.001084

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_periodic_gru_sequence_remote_Bw

periodic_gru_sequence

0.002344

0.002747

0.002523

157,953

31m 26s

1.82 MB

Very High

Medium

wave2b_harmonic_temporal_hybrid_campaign_2026_05_25

periodic_lstm_sequence_bw

  • Best run: te_periodic_lstm_sequence_bw

  • Best test MAE: 0.001226

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_periodic_lstm_sequence_remote_Bw

periodic_lstm_sequence

0.002556

0.002953

0.002432

210,561

35m 21s

2.43 MB

Very High

Medium

wave2b_harmonic_temporal_hybrid_campaign_2026_05_25

periodic_mlp

  • Best run: te_periodic_mlp_h04_standard_global_optuna_t0010

  • Best test MAE: 0.003186

  • Completed tracked runs: 21

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_periodic_mlp_bw

periodic_mlp

0.001740

0.002328

0.001658

27,137

20m 08s

0.33 MB

Medium

Medium

polished_dataset_full_wave_retraining_2026_06_22

2

te_periodic_mlp_global

periodic_mlp

0.001741

0.002333

0.001655

27,137

19m 36s

0.33 MB

Medium

Medium

polished_dataset_full_wave_retraining_2026_06_22

3

te_periodic_mlp_fw

periodic_mlp

0.001742

0.002329

0.001597

27,137

43m 55s

0.33 MB

Medium

High

polished_dataset_full_wave_retraining_2026_06_22

4

te_periodic_mlp_fw

periodic_mlp

0.001747

0.002347

0.001670

27,137

15m 31s

0.33 MB

Medium

Medium

polished_dataset_full_wave_retraining_2026_06_22

5

te_periodic_mlp_bw

periodic_mlp

0.001758

0.002334

0.001611

27,137

40m 10s

0.33 MB

Medium

High

polished_dataset_full_wave_retraining_2026_06_22

6

te_periodic_mlp_fw__polished_setpoints

periodic_mlp

0.001770

0.002770

0.001624

27,265

19m 06s

0.33 MB

Medium

Medium

dataset_input_mode_retraining__periodic_mlp__polished_setpoints

7

te_periodic_mlp_global

periodic_mlp

0.001774

0.002355

0.001634

27,137

29m 56s

0.33 MB

Medium

Medium

polished_dataset_full_wave_retraining_2026_06_22

8

te_periodic_mlp_global__polished_setpoints

periodic_mlp

0.001794

0.002792

0.001654

27,265

14m 06s

0.33 MB

Medium

Low

dataset_input_mode_retraining__periodic_mlp__polished_setpoints

9

te_periodic_mlp_global__polished_actual_values

periodic_mlp

0.001813

0.002796

0.001654

27,265

20m 28s

0.33 MB

Medium

Medium

dataset_input_mode_retraining__periodic_mlp__polished_actual_values

10

te_periodic_mlp_bw__polished_setpoints

periodic_mlp

0.001853

0.002843

0.001655

27,265

14m 06s

0.33 MB

Medium

Low

dataset_input_mode_retraining__periodic_mlp__polished_setpoints

11

te_periodic_mlp_bw__polished_actual_values

periodic_mlp

0.001869

0.002856

0.001676

27,265

18m 27s

0.33 MB

Medium

Medium

dataset_input_mode_retraining__periodic_mlp__polished_actual_values

12

te_periodic_mlp_fw__polished_actual_values

periodic_mlp

0.001877

0.002885

0.001689

27,265

14m 00s

0.33 MB

Medium

Low

dataset_input_mode_retraining__periodic_mlp__polished_actual_values

13

te_periodic_mlp_h04_standard_global_optuna_t0010

periodic_mlp

0.003186

0.003690

0.002994

27,265

N/A

0.33 MB

Medium

Unknown

standalone_or_unknown

14

te_periodic_mlp_h04_standard_global_optuna_t0008

periodic_mlp

0.003200

0.003798

0.003057

46,721

N/A

0.56 MB

Medium

Unknown

standalone_or_unknown

15

te_periodic_mlp_h04_standard_global_optuna_t0006

periodic_mlp

0.003233

0.003733

0.002964

27,777

N/A

0.34 MB

Medium

Unknown

standalone_or_unknown

16

te_periodic_mlp_rcim_sparse_tracking_global

periodic_mlp

0.003275

0.003726

0.002863

28,545

7h 47m 34s

0.35 MB

Medium

Very High

wave1_periodic_mlp_explicit_harmonic_tracking_campaign_2026_05_20_22_42_49

17

te_periodic_mlp_global__simplified_setpoints

periodic_mlp

0.003346

0.004047

0.003013

27,265

11m 13s

0.33 MB

Medium

Low

dataset_input_mode_retraining__periodic_mlp__simplified_setpoints

18

te_periodic_mlp_dense240_tracking_global

periodic_mlp

0.003348

0.003862

0.002962

87,681

20m 22s

1.03 MB

High

Medium

wave1_periodic_mlp_explicit_harmonic_tracking_campaign_2026_05_20_22_42_49

19

te_periodic_mlp_dense360_tracking_global

periodic_mlp

0.003401

0.003831

0.002859

118,401

50m 45s

1.38 MB

High

High

wave1_periodic_mlp_explicit_harmonic_tracking_campaign_2026_05_20_22_42_49

20

te_periodic_mlp_fw__simplified_setpoints

periodic_mlp

0.003419

0.004131

0.003021

27,265

6m 39s

0.33 MB

Medium

Low

dataset_input_mode_retraining__periodic_mlp__simplified_setpoints

21

te_periodic_mlp_bw__simplified_setpoints

periodic_mlp

0.003446

0.004162

0.003016

27,265

8m 51s

0.33 MB

Medium

Low

dataset_input_mode_retraining__periodic_mlp__simplified_setpoints

periodic_mlp_bw

  • Best run: te_periodic_mlp_bw

  • Best test MAE: 0.001740

  • Completed tracked runs: 6

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_periodic_mlp_h04_standard_Bw_optuna_t0006

periodic_mlp

0.003233

0.003792

0.002907

27,777

N/A

0.34 MB

Medium

Unknown

standalone_or_unknown

2

te_periodic_mlp_h04_standard_Bw_optuna_t0007

periodic_mlp

0.003239

0.003820

0.002933

28,289

N/A

0.35 MB

Medium

Unknown

standalone_or_unknown

3

te_periodic_mlp_h04_standard_Bw_optuna_t0010

periodic_mlp

0.003248

0.003817

0.002963

27,265

N/A

0.33 MB

Medium

Unknown

standalone_or_unknown

4

te_periodic_mlp_rcim_sparse_tracking_Bw

periodic_mlp

0.003398

0.003922

0.003011

28,545

9m 57s

0.35 MB

Medium

Low

wave1_periodic_mlp_explicit_harmonic_tracking_campaign_2026_05_20_22_42_49

5

te_periodic_mlp_dense240_tracking_Bw

periodic_mlp

0.003417

0.004005

0.003041

87,681

20m 05s

1.03 MB

High

Medium

wave1_periodic_mlp_explicit_harmonic_tracking_campaign_2026_05_20_22_42_49

6

te_periodic_mlp_dense360_tracking_Bw

periodic_mlp

0.003424

0.004006

0.003072

118,401

20m 33s

1.38 MB

High

Medium

wave1_periodic_mlp_explicit_harmonic_tracking_campaign_2026_05_20_22_42_49

periodic_temporal_convolution_bw

  • Best run: te_periodic_temporal_convolution_bw__polished_actual_values

  • Best test MAE: 0.002001

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_periodic_temporal_convolution_sequence_remote_Bw

periodic_temporal_convolution

0.003614

0.004163

0.003890

158,529

8m 25s

1.83 MB

Very High

Low

wave2b_harmonic_temporal_hybrid_campaign_2026_05_25

residual_harmonic_gru_sequence_bw_dense240

  • Best run: te_residual_harmonic_gru_sequence_remote_Bw_dense240

  • Best test MAE: 0.003492

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_residual_harmonic_gru_sequence_remote_Bw_dense240

residual_harmonic_gru_sequence

0.003492

0.004074

0.003585

151,522

19m 40s

1.75 MB

Very High

Medium

wave2c_residual_harmonic_temporal_hybrid_campaign_2026_05_27

residual_harmonic_gru_sequence_bw_dense360

  • Best run: te_residual_harmonic_gru_sequence_remote_Bw_dense360

  • Best test MAE: 0.003468

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_residual_harmonic_gru_sequence_remote_Bw_dense360

residual_harmonic_gru_sequence

0.003468

0.004050

0.003773

151,762

13m 22s

1.75 MB

Very High

Low

wave2c_residual_harmonic_temporal_hybrid_campaign_2026_05_27

residual_harmonic_gru_sequence_bw_sparse_rcim

  • Best run: te_residual_harmonic_gru_sequence_remote_Bw_sparse_rcim

  • Best test MAE: 0.003502

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_residual_harmonic_gru_sequence_remote_Bw_sparse_rcim

residual_harmonic_gru_sequence

0.003502

0.004061

0.003833

151,060

6m 18s

1.75 MB

Very High

Low

wave2c_residual_harmonic_temporal_hybrid_campaign_2026_05_27

residual_harmonic_gru_sequence_dense240

  • Best run: te_residual_harmonic_gru_sequence_remote_global_dense240

  • Best test MAE: 0.003511

  • Completed tracked runs: 13

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_residual_harmonic_gru_sequence_dense240_bw__polished_actual_values

residual_harmonic_gru_sequence

0.002049

0.003081

0.001942

151,522

32m 31s

1.75 MB

Very High

Medium

dataset_input_mode_retraining__residual_harmonic_gru_sequence_dense240__polished_actual_values

2

te_residual_harmonic_gru_sequence_dense240_global

residual_harmonic_gru_sequence

0.002076

0.002660

0.001967

151,138

47m 26s

1.75 MB

Very High

High

polished_dataset_full_wave_retraining_2026_06_22

3

te_residual_harmonic_gru_sequence_dense240_bw

residual_harmonic_gru_sequence

0.002101

0.002698

0.001984

151,138

43m 06s

1.75 MB

Very High

High

polished_dataset_full_wave_retraining_2026_06_22

4

te_residual_harmonic_gru_sequence_dense240_fw__polished_actual_values

residual_harmonic_gru_sequence

0.002101

0.003138

0.001969

151,522

21m 40s

1.75 MB

Very High

Medium

dataset_input_mode_retraining__residual_harmonic_gru_sequence_dense240__polished_actual_values

5

te_residual_harmonic_gru_sequence_dense240_fw

residual_harmonic_gru_sequence

0.002143

0.002729

0.002025

151,138

25m 47s

1.75 MB

Very High

Medium

polished_dataset_full_wave_retraining_2026_06_22

6

te_residual_harmonic_gru_sequence_dense240_global__polished_actual_values

residual_harmonic_gru_sequence

0.002213

0.003268

0.002046

151,522

11m 00s

1.75 MB

Very High

Low

dataset_input_mode_retraining__residual_harmonic_gru_sequence_dense240__polished_actual_values

7

te_residual_harmonic_gru_sequence_dense240_fw__polished_setpoints

residual_harmonic_gru_sequence

0.002256

0.003614

0.001988

151,522

19m 53s

1.75 MB

Very High

Medium

dataset_input_mode_retraining__residual_harmonic_gru_sequence_dense240__polished_setpoints

8

te_residual_harmonic_gru_sequence_dense240_bw__polished_setpoints

residual_harmonic_gru_sequence

0.002262

0.003634

0.001961

151,522

17m 37s

1.75 MB

Very High

Medium

dataset_input_mode_retraining__residual_harmonic_gru_sequence_dense240__polished_setpoints

9

te_residual_harmonic_gru_sequence_dense240_global__polished_setpoints

residual_harmonic_gru_sequence

0.002278

0.003633

0.001986

151,522

20m 12s

1.75 MB

Very High

Medium

dataset_input_mode_retraining__residual_harmonic_gru_sequence_dense240__polished_setpoints

10

te_residual_harmonic_gru_sequence_dense240_fw__simplified_setpoints

residual_harmonic_gru_sequence

0.003365

0.004129

0.003587

151,522

10m 32s

1.75 MB

Very High

Low

dataset_input_mode_retraining__residual_harmonic_gru_sequence_dense240__simplified_setpoints

11

te_residual_harmonic_gru_sequence_dense240_global__simplified_setpoints

residual_harmonic_gru_sequence

0.003375

0.004181

0.003617

151,522

10m 54s

1.75 MB

Very High

Low

dataset_input_mode_retraining__residual_harmonic_gru_sequence_dense240__simplified_setpoints

12

te_residual_harmonic_gru_sequence_dense240_bw__simplified_setpoints

residual_harmonic_gru_sequence

0.003429

0.004166

0.003595

151,522

10m 01s

1.75 MB

Very High

Low

dataset_input_mode_retraining__residual_harmonic_gru_sequence_dense240__simplified_setpoints

13

te_residual_harmonic_gru_sequence_remote_global_dense240

residual_harmonic_gru_sequence

0.003511

0.003983

0.003600

151,522

13m 21s

1.75 MB

Very High

Low

wave2c_residual_harmonic_temporal_hybrid_campaign_2026_05_27

residual_harmonic_gru_sequence_dense360

  • Best run: te_residual_harmonic_gru_sequence_remote_global_dense360

  • Best test MAE: 0.003535

  • Completed tracked runs: 13

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_residual_harmonic_gru_sequence_dense360_bw__polished_actual_values

residual_harmonic_gru_sequence

0.002071

0.003106

0.001960

151,762

29m 02s

1.75 MB

Very High

Medium

dataset_input_mode_retraining__residual_harmonic_gru_sequence_dense360__polished_actual_values

2

te_residual_harmonic_gru_sequence_dense360_fw__polished_actual_values

residual_harmonic_gru_sequence

0.002074

0.003114

0.001955

151,762

30m 31s

1.75 MB

Very High

Medium

dataset_input_mode_retraining__residual_harmonic_gru_sequence_dense360__polished_actual_values

3

te_residual_harmonic_gru_sequence_dense360_fw

residual_harmonic_gru_sequence

0.002083

0.002673

0.001968

151,378

54m 52s

1.75 MB

Very High

High

polished_dataset_full_wave_retraining_2026_06_22

4

te_residual_harmonic_gru_sequence_dense360_global__polished_actual_values

residual_harmonic_gru_sequence

0.002088

0.003113

0.001960

151,762

26m 15s

1.75 MB

Very High

Medium

dataset_input_mode_retraining__residual_harmonic_gru_sequence_dense360__polished_actual_values

5

te_residual_harmonic_gru_sequence_dense360_bw

residual_harmonic_gru_sequence

0.002103

0.002701

0.001979

151,378

50m 34s

1.75 MB

Very High

High

polished_dataset_full_wave_retraining_2026_06_22

6

te_residual_harmonic_gru_sequence_dense360_global

residual_harmonic_gru_sequence

0.002149

0.002741

0.002020

151,378

30m 11s

1.75 MB

Very High

Medium

polished_dataset_full_wave_retraining_2026_06_22

7

te_residual_harmonic_gru_sequence_dense360_fw__polished_setpoints

residual_harmonic_gru_sequence

0.002283

0.003646

0.002002

151,762

25m 17s

1.75 MB

Very High

Medium

dataset_input_mode_retraining__residual_harmonic_gru_sequence_dense360__polished_setpoints

8

te_residual_harmonic_gru_sequence_dense360_global__polished_setpoints

residual_harmonic_gru_sequence

0.002284

0.003660

0.001974

151,762

27m 26s

1.75 MB

Very High

Medium

dataset_input_mode_retraining__residual_harmonic_gru_sequence_dense360__polished_setpoints

9

te_residual_harmonic_gru_sequence_dense360_bw__polished_setpoints

residual_harmonic_gru_sequence

0.002292

0.003649

0.002000

151,762

18m 35s

1.75 MB

Very High

Medium

dataset_input_mode_retraining__residual_harmonic_gru_sequence_dense360__polished_setpoints

10

te_residual_harmonic_gru_sequence_dense360_bw__simplified_setpoints

residual_harmonic_gru_sequence

0.003395

0.004190

0.003588

151,762

11m 25s

1.75 MB

Very High

Low

dataset_input_mode_retraining__residual_harmonic_gru_sequence_dense360__simplified_setpoints

11

te_residual_harmonic_gru_sequence_dense360_global__simplified_setpoints

residual_harmonic_gru_sequence

0.003404

0.004244

0.003607

151,762

10m 28s

1.75 MB

Very High

Low

dataset_input_mode_retraining__residual_harmonic_gru_sequence_dense360__simplified_setpoints

12

te_residual_harmonic_gru_sequence_dense360_fw__simplified_setpoints

residual_harmonic_gru_sequence

0.003407

0.004178

0.003582

151,762

11m 42s

1.75 MB

Very High

Low

dataset_input_mode_retraining__residual_harmonic_gru_sequence_dense360__simplified_setpoints

13

te_residual_harmonic_gru_sequence_remote_global_dense360

residual_harmonic_gru_sequence

0.003535

0.003999

0.003628

151,762

21m 39s

1.75 MB

Very High

Medium

wave2c_residual_harmonic_temporal_hybrid_campaign_2026_05_27

residual_harmonic_lstm_sequence_bw_dense240

  • Best run: te_residual_harmonic_lstm_sequence_remote_Bw_dense240

  • Best test MAE: 0.003605

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_residual_harmonic_lstm_sequence_remote_Bw_dense240

residual_harmonic_lstm_sequence

0.003605

0.004129

0.003742

201,826

10m 18s

2.33 MB

Very High

Low

wave2c_residual_harmonic_temporal_hybrid_campaign_2026_05_27

residual_harmonic_lstm_sequence_bw_dense360

  • Best run: te_residual_harmonic_lstm_sequence_remote_Bw_dense360

  • Best test MAE: 0.003556

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_residual_harmonic_lstm_sequence_remote_Bw_dense360

residual_harmonic_lstm_sequence

0.003556

0.004125

0.003729

202,066

15m 59s

2.33 MB

Very High

Medium

wave2c_residual_harmonic_temporal_hybrid_campaign_2026_05_27

residual_harmonic_lstm_sequence_bw_sparse_rcim

  • Best run: te_residual_harmonic_lstm_sequence_remote_Bw_sparse_rcim

  • Best test MAE: 0.003440

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_residual_harmonic_lstm_sequence_remote_Bw_sparse_rcim

residual_harmonic_lstm_sequence

0.003440

0.004030

0.003764

201,364

7m 48s

2.32 MB

Very High

Low

wave2c_residual_harmonic_temporal_hybrid_campaign_2026_05_27

residual_harmonic_lstm_sequence_dense240

  • Best run: te_residual_harmonic_lstm_sequence_remote_global_dense240

  • Best test MAE: 0.003473

  • Completed tracked runs: 13

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_residual_harmonic_lstm_sequence_dense240_bw__polished_actual_values

residual_harmonic_lstm_sequence

0.002116

0.003149

0.001985

201,826

32m 41s

2.33 MB

Very High

Medium

dataset_input_mode_retraining__residual_harmonic_lstm_sequence_dense240__polished_actual_values

2

te_residual_harmonic_lstm_sequence_dense240_fw

residual_harmonic_lstm_sequence

0.002147

0.002745

0.002044

201,314

21m 58s

2.32 MB

Very High

Medium

polished_dataset_full_wave_retraining_2026_06_22

3

te_residual_harmonic_lstm_sequence_dense240_global

residual_harmonic_lstm_sequence

0.002161

0.002748

0.002031

201,314

30m 03s

2.32 MB

Very High

Medium

polished_dataset_full_wave_retraining_2026_06_22

4

te_residual_harmonic_lstm_sequence_dense240_bw

residual_harmonic_lstm_sequence

0.002164

0.002757

0.002040

201,314

25m 51s

2.32 MB

Very High

Medium

polished_dataset_full_wave_retraining_2026_06_22

5

te_residual_harmonic_lstm_sequence_dense240_fw__polished_setpoints

residual_harmonic_lstm_sequence

0.002275

0.003636

0.001995

201,826

25m 40s

2.33 MB

Very High

Medium

dataset_input_mode_retraining__residual_harmonic_lstm_sequence_dense240__polished_setpoints

6

te_residual_harmonic_lstm_sequence_dense240_global__polished_actual_values

residual_harmonic_lstm_sequence

0.002297

0.003625

0.002027

201,826

23m 21s

2.33 MB

Very High

Medium

dataset_input_mode_retraining__residual_harmonic_lstm_sequence_dense240__polished_actual_values

7

te_residual_harmonic_lstm_sequence_dense240_global__polished_setpoints

residual_harmonic_lstm_sequence

0.002297

0.003647

0.002004

201,826

20m 56s

2.33 MB

Very High

Medium

dataset_input_mode_retraining__residual_harmonic_lstm_sequence_dense240__polished_setpoints

8

te_residual_harmonic_lstm_sequence_dense240_fw__polished_actual_values

residual_harmonic_lstm_sequence

0.002298

0.003638

0.002025

201,826

23m 15s

2.33 MB

Very High

Medium

dataset_input_mode_retraining__residual_harmonic_lstm_sequence_dense240__polished_actual_values

9

te_residual_harmonic_lstm_sequence_dense240_bw__polished_setpoints

residual_harmonic_lstm_sequence

0.002316

0.003665

0.002005

201,826

26m 59s

2.33 MB

Very High

Medium

dataset_input_mode_retraining__residual_harmonic_lstm_sequence_dense240__polished_setpoints

10

te_residual_harmonic_lstm_sequence_dense240_fw__simplified_setpoints

residual_harmonic_lstm_sequence

0.003354

0.004116

0.003561

201,826

21m 52s

2.33 MB

Very High

Medium

dataset_input_mode_retraining__residual_harmonic_lstm_sequence_dense240__simplified_setpoints

11

te_residual_harmonic_lstm_sequence_dense240_bw__simplified_setpoints

residual_harmonic_lstm_sequence

0.003367

0.004145

0.003586

201,826

27m 02s

2.33 MB

Very High

Medium

dataset_input_mode_retraining__residual_harmonic_lstm_sequence_dense240__simplified_setpoints

12

te_residual_harmonic_lstm_sequence_dense240_global__simplified_setpoints

residual_harmonic_lstm_sequence

0.003381

0.004182

0.003604

201,826

17m 53s

2.33 MB

Very High

Medium

dataset_input_mode_retraining__residual_harmonic_lstm_sequence_dense240__simplified_setpoints

13

te_residual_harmonic_lstm_sequence_remote_global_dense240

residual_harmonic_lstm_sequence

0.003473

0.003925

0.003624

201,826

13m 54s

2.33 MB

Very High

Low

wave2c_residual_harmonic_temporal_hybrid_campaign_2026_05_27

residual_harmonic_lstm_sequence_dense360

  • Best run: te_residual_harmonic_lstm_sequence_remote_global_dense360

  • Best test MAE: 0.003477

  • Completed tracked runs: 13

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_residual_harmonic_lstm_sequence_dense360_bw

residual_harmonic_lstm_sequence

0.002097

0.002693

0.002007

201,554

46m 45s

2.32 MB

Very High

High

polished_dataset_full_wave_retraining_2026_06_22

2

te_residual_harmonic_lstm_sequence_dense360_bw__polished_actual_values

residual_harmonic_lstm_sequence

0.002156

0.003201

0.001999

202,066

31m 48s

2.33 MB

Very High

Medium

dataset_input_mode_retraining__residual_harmonic_lstm_sequence_dense360__polished_actual_values

3

te_residual_harmonic_lstm_sequence_dense360_fw

residual_harmonic_lstm_sequence

0.002219

0.002819

0.002066

201,554

28m 00s

2.32 MB

Very High

Medium

polished_dataset_full_wave_retraining_2026_06_22

4

te_residual_harmonic_lstm_sequence_dense360_global

residual_harmonic_lstm_sequence

0.002223

0.002815

0.002071

201,554

27m 27s

2.32 MB

Very High

Medium

polished_dataset_full_wave_retraining_2026_06_22

5

te_residual_harmonic_lstm_sequence_dense360_global__polished_setpoints

residual_harmonic_lstm_sequence

0.002282

0.003645

0.001977

202,066

33m 55s

2.33 MB

Very High

Medium

dataset_input_mode_retraining__residual_harmonic_lstm_sequence_dense360__polished_setpoints

6

te_residual_harmonic_lstm_sequence_dense360_bw__polished_setpoints

residual_harmonic_lstm_sequence

0.002282

0.003627

0.001991

202,066

33m 59s

2.33 MB

Very High

Medium

dataset_input_mode_retraining__residual_harmonic_lstm_sequence_dense360__polished_setpoints

7

te_residual_harmonic_lstm_sequence_dense360_fw__polished_actual_values

residual_harmonic_lstm_sequence

0.002295

0.003624

0.002032

202,066

25m 12s

2.33 MB

Very High

Medium

dataset_input_mode_retraining__residual_harmonic_lstm_sequence_dense360__polished_actual_values

8

te_residual_harmonic_lstm_sequence_dense360_fw__polished_setpoints

residual_harmonic_lstm_sequence

0.002303

0.003648

0.002013

202,066

23m 24s

2.33 MB

Very High

Medium

dataset_input_mode_retraining__residual_harmonic_lstm_sequence_dense360__polished_setpoints

9

te_residual_harmonic_lstm_sequence_dense360_global__polished_actual_values

residual_harmonic_lstm_sequence

0.002330

0.003667

0.002092

202,066

15m 32s

2.33 MB

Very High

Medium

dataset_input_mode_retraining__residual_harmonic_lstm_sequence_dense360__polished_actual_values

10

te_residual_harmonic_lstm_sequence_dense360_fw__simplified_setpoints

residual_harmonic_lstm_sequence

0.003402

0.004177

0.003582

202,066

19m 05s

2.33 MB

Very High

Medium

dataset_input_mode_retraining__residual_harmonic_lstm_sequence_dense360__simplified_setpoints

11

te_residual_harmonic_lstm_sequence_dense360_global__simplified_setpoints

residual_harmonic_lstm_sequence

0.003443

0.004246

0.003600

202,066

21m 09s

2.33 MB

Very High

Medium

dataset_input_mode_retraining__residual_harmonic_lstm_sequence_dense360__simplified_setpoints

12

te_residual_harmonic_lstm_sequence_remote_global_dense360

residual_harmonic_lstm_sequence

0.003477

0.003940

0.003648

202,066

28m 49s

2.33 MB

Very High

Medium

wave2c_residual_harmonic_temporal_hybrid_campaign_2026_05_27

13

te_residual_harmonic_lstm_sequence_dense360_bw__simplified_setpoints

residual_harmonic_lstm_sequence

0.003480

0.004221

0.003604

202,066

15m 25s

2.33 MB

Very High

Medium

dataset_input_mode_retraining__residual_harmonic_lstm_sequence_dense360__simplified_setpoints

residual_harmonic_mlp_bw

  • Best run: te_residual_harmonic_mlp_bw

  • Best test MAE: 0.001712

  • Completed tracked runs: 6

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_residual_harmonic_rcim_sparse_tracking_Bw

residual_harmonic_mlp

0.003042

0.003548

0.002953

26,260

6m 07s

0.32 MB

Medium

Low

wave1_high_order_harmonic_tracking_campaign_2026_05_19_17_40_01

2

te_residual_harmonic_dense360_tracking_Bw

residual_harmonic_mlp

0.003068

0.003545

0.002826

26,962

14m 01s

0.33 MB

Medium

Low

wave1_high_order_harmonic_tracking_campaign_2026_05_19_17_40_01

3

te_residual_h12_deep_joint_wave1_Bw_optuna_t0007

residual_harmonic_mlp

0.003162

0.003862

0.002948

34,962

N/A

0.42 MB

Medium

Unknown

standalone_or_unknown

4

te_residual_h12_deep_joint_wave1_Bw_optuna_t0012

residual_harmonic_mlp

0.003180

0.003642

0.002979

43,026

N/A

0.52 MB

Medium

Unknown

standalone_or_unknown

5

te_residual_harmonic_dense240_tracking_Bw

residual_harmonic_mlp

0.003188

0.003717

0.002861

26,722

8m 25s

0.33 MB

Medium

Low

wave1_high_order_harmonic_tracking_campaign_2026_05_19_17_40_01

6

te_residual_h12_deep_joint_wave1_Bw_optuna_t0013

residual_harmonic_mlp

0.003195

0.003636

0.003051

43,026

N/A

0.52 MB

Medium

Unknown

standalone_or_unknown

sequential_residual_offset_probe_bw

  • Best run: te_sequential_residual_offset_probe_remote_bw

  • Best test MAE: 0.003638

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_sequential_residual_offset_probe_remote_bw

sequential_residual_offset_probe

0.003638

0.004280

0.003840

92,802

7m 07s

1.09 MB

High

Low

track2f_offset_aware_probe_campaign_2026_06_03

temporal_convolution

  • Best run: te_temporal_convolution_sequence_remote_global

  • Best test MAE: 0.003754

  • Completed tracked runs: 16

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_temporal_convolution_bw__polished_actual_values

temporal_convolution

0.002303

0.003366

0.002198

147,009

27m 04s

1.70 MB

High

Medium

dataset_input_mode_retraining__temporal_convolution__polished_actual_values

2

te_temporal_convolution_global__polished_actual_values

temporal_convolution

0.002327

0.003391

0.002191

147,009

24m 33s

1.70 MB

High

Medium

dataset_input_mode_retraining__temporal_convolution__polished_actual_values

3

te_temporal_convolution_bw

temporal_convolution

0.002348

0.002988

0.002236

146,369

25m 15s

1.69 MB

High

Medium

polished_dataset_full_wave_retraining_2026_06_22

4

te_temporal_convolution_global

temporal_convolution

0.002385

0.003048

0.002296

146,369

22m 15s

1.69 MB

High

Medium

polished_dataset_full_wave_retraining_2026_06_22

5

te_temporal_convolution_fw__polished_actual_values

temporal_convolution

0.002390

0.003496

0.002272

147,009

14m 07s

1.70 MB

High

Low

dataset_input_mode_retraining__temporal_convolution__polished_actual_values

6

te_temporal_convolution_bw

temporal_convolution

0.002391

0.003044

0.002303

146,369

33m 57s

1.69 MB

High

Medium

polished_dataset_full_wave_retraining_2026_06_22

7

te_temporal_convolution_fw

temporal_convolution

0.002399

0.003061

0.002311

146,369

33m 25s

1.69 MB

High

Medium

polished_dataset_full_wave_retraining_2026_06_22

8

te_temporal_convolution_global

temporal_convolution

0.002411

0.003063

0.002308

146,369

29m 33s

1.69 MB

High

Medium

polished_dataset_full_wave_retraining_2026_06_22

9

te_temporal_convolution_fw

temporal_convolution

0.002470

0.003146

0.002339

146,369

15m 07s

1.69 MB

High

Medium

polished_dataset_full_wave_retraining_2026_06_22

10

te_temporal_convolution_bw__polished_setpoints

temporal_convolution

0.002508

0.003884

0.002222

147,009

25m 06s

1.70 MB

High

Medium

dataset_input_mode_retraining__temporal_convolution__polished_setpoints

11

te_temporal_convolution_global__polished_setpoints

temporal_convolution

0.002538

0.003933

0.002250

147,009

13m 19s

1.70 MB

High

Low

dataset_input_mode_retraining__temporal_convolution__polished_setpoints

12

te_temporal_convolution_fw__polished_setpoints

temporal_convolution

0.002544

0.003914

0.002253

147,009

12m 51s

1.70 MB

High

Low

dataset_input_mode_retraining__temporal_convolution__polished_setpoints

13

te_temporal_convolution_fw__simplified_setpoints

temporal_convolution

0.003530

0.004341

0.003779

147,009

6m 34s

1.70 MB

High

Low

dataset_input_mode_retraining__temporal_convolution__simplified_setpoints

14

te_temporal_convolution_bw__simplified_setpoints

temporal_convolution

0.003547

0.004393

0.003813

147,009

8m 39s

1.70 MB

High

Low

dataset_input_mode_retraining__temporal_convolution__simplified_setpoints

15

te_temporal_convolution_global__simplified_setpoints

temporal_convolution

0.003624

0.004478

0.003805

147,009

5m 29s

1.70 MB

High

Low

dataset_input_mode_retraining__temporal_convolution__simplified_setpoints

16

te_temporal_convolution_sequence_remote_global

temporal_convolution

0.003754

0.004266

0.003935

147,009

9m 46s

1.70 MB

High

Low

wave2_temporal_model_entry_campaign_2026_05_24_11_01_15

temporal_convolution_bw

  • Best run: te_temporal_convolution_bw__polished_actual_values

  • Best test MAE: 0.002303

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_temporal_convolution_sequence_remote_Bw

temporal_convolution

0.003739

0.004369

0.003933

147,009

8m 12s

1.70 MB

High

Low

wave2_temporal_model_entry_campaign_2026_05_24_11_01_15

track2f_bis_clean_sequential_residual_offset_bw

  • Best run: te_track2f_bis_clean_residual_offset_bw

  • Best test MAE: 0.003540

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2f_bis_clean_residual_offset_bw

sequential_residual_offset_probe

0.003540

0.004203

0.003820

92,802

9m 37s

1.09 MB

High

Low

track2f_bis_harmonic_offset_probe_campaign_2026_06_04

track2f_bis_harmonic_residual_offset_bw

  • Best run: te_track2f_bis_harmonic_residual_offset_bw

  • Best test MAE: 0.003336

  • Completed tracked runs: 1

  • Known failed campaign attempts: 1

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2f_bis_harmonic_residual_offset_bw

harmonic_residual_offset_probe

0.003336

0.003935

0.003555

85,747

0s

1.00 MB

High

Very Low

track2f_bis_harmonic_offset_probe_campaign_2026_06_04

Known failed campaign attempts for this family:

  • te_track2f_bis_harmonic_residual_offset_bw | campaign track2f_bis_harmonic_offset_probe_campaign_2026_06_04 | model type harmonic_residual_offset_probe | error Unsupported Model Type for Campaign Runner | harmonic_residual_offset_probe | Supported: ['feedforward', 'gru_sequence', 'harmonic_regression', 'hist_gradient_boosting', 'lstm_sequence', 'periodic_gru_sequence', 'periodic_lstm_sequence', 'periodic_mlp', 'periodic_temporal_convolution', 'random_forest', 'residual_harmonic_gru_sequence', 'residual_harmonic_lstm_sequence', 'residual_harmonic_mlp', 'sequential_residual_offset_probe', 'temporal_convolution']

track2g_curve_aware_harmonic_residual_offset_full_curve_composite_bw

  • Best run: te_track2g_curve_aware_full_curve_composite_bw

  • Best test MAE: 0.003511

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2g_curve_aware_full_curve_composite_bw

curve_aware_harmonic_residual_offset_probe

0.003511

0.004113

0.003803

85,747

15m 23s

1.00 MB

High

Medium

track2g_curve_aware_training_campaign_2026_06_08

track2g_curve_aware_harmonic_residual_offset_pointwise_control_bw

  • Best run: te_track2g_curve_aware_pointwise_control_bw

  • Best test MAE: 0.003430

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2g_curve_aware_pointwise_control_bw

curve_aware_harmonic_residual_offset_probe

0.003430

0.003945

0.003749

85,747

14m 29s

1.00 MB

High

Low

track2g_curve_aware_training_campaign_2026_06_08

track2g_curve_aware_harmonic_residual_offset_raw_centered_shape_bw

  • Best run: te_track2g_curve_aware_raw_centered_shape_bw

  • Best test MAE: 0.003465

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2g_curve_aware_raw_centered_shape_bw

curve_aware_harmonic_residual_offset_probe

0.003465

0.003998

0.003740

85,747

15m 37s

1.00 MB

High

Medium

track2g_curve_aware_training_campaign_2026_06_08

track2g_curve_aware_harmonic_residual_offset_raw_offset_bw

  • Best run: te_track2g_curve_aware_raw_offset_bw

  • Best test MAE: 0.003471

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2g_curve_aware_raw_offset_bw

curve_aware_harmonic_residual_offset_probe

0.003471

0.003992

0.003751

85,747

15m 22s

1.00 MB

High

Medium

track2g_curve_aware_training_campaign_2026_06_08

track2h_dispersion_aware_log_cosh_robust_bw

  • Best run: te_track2h_log_cosh_robust_bw

  • Best test MAE: 0.003481

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2h_log_cosh_robust_bw

curve_aware_harmonic_residual_offset_probe

0.003481

0.004029

0.003774

85,747

10m 56s

1.00 MB

High

Low

track2h_dispersion_aware_modeling_campaign_2026_06_10

track2h_dispersion_aware_mae_robust_bw

  • Best run: te_track2h_mae_robust_bw

  • Best test MAE: 0.003430

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2h_mae_robust_bw

curve_aware_harmonic_residual_offset_probe

0.003430

0.004029

0.003579

85,747

18m 22s

1.00 MB

High

Medium

track2h_dispersion_aware_modeling_campaign_2026_06_10

track2h_dispersion_aware_smooth_l1_robust_bw

  • Best run: te_track2h_smooth_l1_robust_bw

  • Best test MAE: 0.003074

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2h_smooth_l1_robust_bw

curve_aware_harmonic_residual_offset_probe

0.003074

0.003662

0.003372

85,747

28m 21s

1.00 MB

High

Medium

track2h_dispersion_aware_modeling_campaign_2026_06_10

track2h_latent_state_hysteresis_causal_tcn_offset_residual_bw

  • Best run: te_track2h_l_causal_tcn_offset_residual_bw

  • Best test MAE: 0.003630

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2h_l_causal_tcn_offset_residual_bw

latent_state_hysteresis_probe

0.003630

0.004312

0.003840

97,923

11m 52s

1.17 MB

High

Low

track2h_latent_state_hysteresis_campaign_2026_06_16

track2h_latent_state_hysteresis_gru_offset_residual_bw

  • Best run: te_track2h_l_gru_offset_residual_bw

  • Best test MAE: 0.003545

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2h_l_gru_offset_residual_bw

latent_state_hysteresis_probe

0.003545

0.004175

0.003837

125,475

14m 01s

1.48 MB

High

Low

track2h_latent_state_hysteresis_campaign_2026_06_16

track2h_mixture_density_heads_mdn_k2_bw

  • Best run: te_track2h_mdn_k2_bw

  • Best test MAE: 0.002658

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2h_mdn_k2_bw

curve_aware_harmonic_residual_offset_probe

0.002658

0.003198

0.002914

86,802

33m 06s

1.01 MB

High

Medium

track2h_mixture_density_heads_campaign_2026_06_13

track2h_mixture_density_heads_mdn_k3_bw

  • Best run: te_track2h_mdn_k3_bw

  • Best test MAE: 0.002721

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2h_mdn_k3_bw

curve_aware_harmonic_residual_offset_probe

0.002721

0.003250

0.002775

87,435

26m 49s

1.02 MB

High

Medium

track2h_mixture_density_heads_campaign_2026_06_13

track2h_quantile_probabilistic_gaussian_nll_bw

  • Best run: te_track2h_gaussian_nll_bw

  • Best test MAE: 0.002998

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2h_gaussian_nll_bw

curve_aware_harmonic_residual_offset_probe

0.002998

0.003608

0.003298

85,958

27m 33s

1.00 MB

High

Medium

track2h_quantile_probabilistic_campaign_2026_06_12

track2h_quantile_probabilistic_quantile_p10_p50_p90_bw

  • Best run: te_track2h_quantile_p10_p50_p90_bw

  • Best test MAE: 0.002927

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_track2h_quantile_p10_p50_p90_bw

curve_aware_harmonic_residual_offset_probe

0.002927

0.003519

0.003436

86,169

26m 33s

1.01 MB

High

Medium

track2h_quantile_probabilistic_campaign_2026_06_12

tree_bw

  • Best run: te_tree_bw__polished_setpoints

  • Best test MAE: 0.001699

  • Completed tracked runs: 3

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_hist_gbr_tabular_Bw_grid_depth6_lr008_leaf10

hist_gradient_boosting

0.002954

0.003749

0.002681

5

N/A

0.45 MB

Very Low

Unknown

standalone_or_unknown

2

te_hist_gbr_tabular_Bw_grid_depth6_lr008_leaf20

hist_gradient_boosting

0.002954

0.003749

0.002681

5

N/A

0.45 MB

Very Low

Unknown

standalone_or_unknown

3

te_hist_gbr_tabular_Bw_grid_depth8_lr008_leaf10

hist_gradient_boosting

0.003002

0.003809

0.002650

5

N/A

0.44 MB

Very Low

Unknown

standalone_or_unknown

wave3_1_sequential_residual_offset_probe

  • Best run: N/A

  • Best test MAE: N/A

  • Completed tracked runs: 12

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_wave3_1_sequential_residual_offset_probe_bw

sequential_residual_offset_probe

0.002225

0.002871

0.002147

92,418

29m 05s

1.09 MB

High

Medium

polished_dataset_full_wave_retraining_2026_06_22

2

te_wave3_1_sequential_residual_offset_probe_fw

sequential_residual_offset_probe

0.002246

0.002893

0.002154

92,418

24m 13s

1.09 MB

High

Medium

polished_dataset_full_wave_retraining_2026_06_22

3

te_wave3_1_sequential_residual_offset_probe_global

sequential_residual_offset_probe

0.002261

0.002896

0.002147

92,418

23m 01s

1.09 MB

High

Medium

polished_dataset_full_wave_retraining_2026_06_22

4

te_wave3_1_sequential_residual_offset_probe_bw__polished_actual_values

sequential_residual_offset_probe

0.002262

0.003326

0.002154

92,802

42m 44s

1.09 MB

High

High

dataset_input_mode_retraining__wave3_1_sequential_residual_offset_probe__polished_actual_values

5

te_wave3_1_sequential_residual_offset_probe_fw__polished_actual_values

sequential_residual_offset_probe

0.002349

0.003433

0.002190

92,802

25m 45s

1.09 MB

High

Medium

dataset_input_mode_retraining__wave3_1_sequential_residual_offset_probe__polished_actual_values

6

te_wave3_1_sequential_residual_offset_probe_global__polished_actual_values

sequential_residual_offset_probe

0.002379

0.003463

0.002209

92,802

20m 52s

1.09 MB

High

Medium

dataset_input_mode_retraining__wave3_1_sequential_residual_offset_probe__polished_actual_values

7

te_wave3_1_sequential_residual_offset_probe_bw__polished_setpoints

sequential_residual_offset_probe

0.002450

0.003838

0.002169

92,802

25m 12s

1.09 MB

High

Medium

dataset_input_mode_retraining__wave3_1_sequential_residual_offset_probe__polished_setpoints

8

te_wave3_1_sequential_residual_offset_probe_fw__polished_setpoints

sequential_residual_offset_probe

0.002465

0.003849

0.002175

92,802

25m 53s

1.09 MB

High

Medium

dataset_input_mode_retraining__wave3_1_sequential_residual_offset_probe__polished_setpoints

9

te_wave3_1_sequential_residual_offset_probe_global__polished_setpoints

sequential_residual_offset_probe

0.002475

0.003835

0.002184

92,802

27m 17s

1.09 MB

High

Medium

dataset_input_mode_retraining__wave3_1_sequential_residual_offset_probe__polished_setpoints

10

te_wave3_1_sequential_residual_offset_probe_fw__simplified_setpoints

sequential_residual_offset_probe

0.003472

0.004298

0.003655

92,802

21m 27s

1.09 MB

High

Medium

dataset_input_mode_retraining__wave3_1_sequential_residual_offset_probe__simplified_setpoints

11

te_wave3_1_sequential_residual_offset_probe_global__simplified_setpoints

sequential_residual_offset_probe

0.003534

0.004399

0.003727

92,802

13m 12s

1.09 MB

High

Low

dataset_input_mode_retraining__wave3_1_sequential_residual_offset_probe__simplified_setpoints

12

te_wave3_1_sequential_residual_offset_probe_bw__simplified_setpoints

sequential_residual_offset_probe

0.003601

0.004440

0.003728

92,802

12m 34s

1.09 MB

High

Low

dataset_input_mode_retraining__wave3_1_sequential_residual_offset_probe__simplified_setpoints

wave3_2_clean_sequential_residual_offset

  • Best run: N/A

  • Best test MAE: N/A

  • Completed tracked runs: 12

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_wave3_2_clean_sequential_residual_offset_bw

sequential_residual_offset_probe

0.002242

0.002885

0.002150

92,418

30m 17s

1.09 MB

High

Medium

polished_dataset_full_wave_retraining_2026_06_22

2

te_wave3_2_clean_sequential_residual_offset_fw

sequential_residual_offset_probe

0.002258

0.002897

0.002159

92,418

26m 01s

1.09 MB

High

Medium

polished_dataset_full_wave_retraining_2026_06_22

3

te_wave3_2_clean_sequential_residual_offset_global

sequential_residual_offset_probe

0.002276

0.002910

0.002158

92,418

28m 06s

1.09 MB

High

Medium

polished_dataset_full_wave_retraining_2026_06_22

4

te_wave3_2_clean_sequential_residual_offset_fw__polished_actual_values

sequential_residual_offset_probe

0.002288

0.003346

0.002169

92,802

30m 55s

1.09 MB

High

Medium

dataset_input_mode_retraining__wave3_2_clean_sequential_residual_offset__polished_actual_values

5

te_wave3_2_clean_sequential_residual_offset_global__polished_actual_values

sequential_residual_offset_probe

0.002302

0.003369

0.002164

92,802

31m 42s

1.09 MB

High

Medium

dataset_input_mode_retraining__wave3_2_clean_sequential_residual_offset__polished_actual_values

6

te_wave3_2_clean_sequential_residual_offset_bw__polished_actual_values

sequential_residual_offset_probe

0.002312

0.003384

0.002195

92,802

24m 39s

1.09 MB

High

Medium

dataset_input_mode_retraining__wave3_2_clean_sequential_residual_offset__polished_actual_values

7

te_wave3_2_clean_sequential_residual_offset_global__polished_setpoints

sequential_residual_offset_probe

0.002454

0.003851

0.002174

92,802

25m 58s

1.09 MB

High

Medium

dataset_input_mode_retraining__wave3_2_clean_sequential_residual_offset__polished_setpoints

8

te_wave3_2_clean_sequential_residual_offset_fw__polished_setpoints

sequential_residual_offset_probe

0.002484

0.003853

0.002198

92,802

22m 26s

1.09 MB

High

Medium

dataset_input_mode_retraining__wave3_2_clean_sequential_residual_offset__polished_setpoints

9

te_wave3_2_clean_sequential_residual_offset_bw__polished_setpoints

sequential_residual_offset_probe

0.002499

0.003890

0.002182

92,802

22m 06s

1.09 MB

High

Medium

dataset_input_mode_retraining__wave3_2_clean_sequential_residual_offset__polished_setpoints

10

te_wave3_2_clean_sequential_residual_offset_bw__simplified_setpoints

sequential_residual_offset_probe

0.003486

0.004293

0.003648

92,802

23m 19s

1.09 MB

High

Medium

dataset_input_mode_retraining__wave3_2_clean_sequential_residual_offset__simplified_setpoints

11

te_wave3_2_clean_sequential_residual_offset_fw__simplified_setpoints

sequential_residual_offset_probe

0.003580

0.004407

0.003716

92,802

14m 08s

1.09 MB

High

Low

dataset_input_mode_retraining__wave3_2_clean_sequential_residual_offset__simplified_setpoints

12

te_wave3_2_clean_sequential_residual_offset_global__simplified_setpoints

sequential_residual_offset_probe

0.003636

0.004490

0.003707

92,802

16m 07s

1.09 MB

High

Medium

dataset_input_mode_retraining__wave3_2_clean_sequential_residual_offset__simplified_setpoints

wave3_2_harmonic_residual_offset

  • Best run: N/A

  • Best test MAE: N/A

  • Completed tracked runs: 12

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_wave3_2_harmonic_residual_offset_bw

harmonic_residual_offset_probe

0.001894

0.002440

0.001791

85,440

37m 24s

1.00 MB

High

Medium

polished_dataset_full_wave_retraining_2026_06_22

2

te_wave3_2_harmonic_residual_offset_global

harmonic_residual_offset_probe

0.001914

0.002470

0.001783

85,440

31m 20s

1.00 MB

High

Medium

polished_dataset_full_wave_retraining_2026_06_22

3

te_wave3_2_harmonic_residual_offset_fw

harmonic_residual_offset_probe

0.001948

0.002507

0.001809

85,440

21m 25s

1.00 MB

High

Medium

polished_dataset_full_wave_retraining_2026_06_22

4

te_wave3_2_harmonic_residual_offset_global__polished_actual_values

harmonic_residual_offset_probe

0.001958

0.003010

0.001836

85,747

38m 50s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave3_2_harmonic_residual_offset__polished_actual_values

5

te_wave3_2_harmonic_residual_offset_fw__polished_actual_values

harmonic_residual_offset_probe

0.001961

0.003003

0.001850

85,747

43m 48s

1.00 MB

High

High

dataset_input_mode_retraining__wave3_2_harmonic_residual_offset__polished_actual_values

6

te_wave3_2_harmonic_residual_offset_bw__polished_actual_values

harmonic_residual_offset_probe

0.001969

0.003011

0.001853

85,747

43m 40s

1.00 MB

High

High

dataset_input_mode_retraining__wave3_2_harmonic_residual_offset__polished_actual_values

7

te_wave3_2_harmonic_residual_offset_global__polished_setpoints

harmonic_residual_offset_probe

0.002220

0.003587

0.001905

85,747

28m 26s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave3_2_harmonic_residual_offset__polished_setpoints

8

te_wave3_2_harmonic_residual_offset_fw__polished_setpoints

harmonic_residual_offset_probe

0.002222

0.003593

0.001886

85,747

21m 43s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave3_2_harmonic_residual_offset__polished_setpoints

9

te_wave3_2_harmonic_residual_offset_bw__polished_setpoints

harmonic_residual_offset_probe

0.002256

0.003593

0.001933

85,747

27m 23s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave3_2_harmonic_residual_offset__polished_setpoints

10

te_wave3_2_harmonic_residual_offset_fw__simplified_setpoints

harmonic_residual_offset_probe

0.003391

0.004142

0.003623

85,747

15m 10s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave3_2_harmonic_residual_offset__simplified_setpoints

11

te_wave3_2_harmonic_residual_offset_bw__simplified_setpoints

harmonic_residual_offset_probe

0.003398

0.004083

0.003612

85,747

16m 11s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave3_2_harmonic_residual_offset__simplified_setpoints

12

te_wave3_2_harmonic_residual_offset_global__simplified_setpoints

harmonic_residual_offset_probe

0.003405

0.004128

0.003624

85,747

18m 23s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave3_2_harmonic_residual_offset__simplified_setpoints

wave3_3_raw_centered_shape_curve_aware

  • Best run: N/A

  • Best test MAE: N/A

  • Completed tracked runs: 12

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_wave3_3_raw_centered_shape_curve_aware_bw

curve_aware_harmonic_residual_offset_probe

0.001916

0.002460

0.001804

85,440

39m 41s

1.00 MB

High

Medium

polished_dataset_full_wave_retraining_2026_06_22

2

te_wave3_3_raw_centered_shape_curve_aware_fw

curve_aware_harmonic_residual_offset_probe

0.001917

0.002466

0.001789

85,440

34m 22s

1.00 MB

High

Medium

polished_dataset_full_wave_retraining_2026_06_22

3

te_wave3_3_raw_centered_shape_curve_aware_global

curve_aware_harmonic_residual_offset_probe

0.001954

0.002494

0.001797

85,440

33m 54s

1.00 MB

High

Medium

polished_dataset_full_wave_retraining_2026_06_22

4

te_wave3_3_raw_centered_shape_curve_aware_global__polished_actual_values

curve_aware_harmonic_residual_offset_probe

0.001966

0.003011

0.001828

85,747

56m 16s

1.00 MB

High

High

dataset_input_mode_retraining__wave3_3_raw_centered_shape_curve_aware__polished_actual_values

5

te_wave3_3_raw_centered_shape_curve_aware_bw__polished_actual_values

curve_aware_harmonic_residual_offset_probe

0.001987

0.003023

0.001855

85,747

50m 41s

1.00 MB

High

High

dataset_input_mode_retraining__wave3_3_raw_centered_shape_curve_aware__polished_actual_values

6

te_wave3_3_raw_centered_shape_curve_aware_fw__polished_actual_values

curve_aware_harmonic_residual_offset_probe

0.002074

0.003111

0.001935

85,747

30m 54s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave3_3_raw_centered_shape_curve_aware__polished_actual_values

7

te_wave3_3_raw_centered_shape_curve_aware_global__polished_setpoints

curve_aware_harmonic_residual_offset_probe

0.002271

0.003605

0.001951

85,747

34m 33s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave3_3_raw_centered_shape_curve_aware__polished_setpoints

8

te_wave3_3_raw_centered_shape_curve_aware_fw__polished_setpoints

curve_aware_harmonic_residual_offset_probe

0.002276

0.003645

0.001941

85,747

24m 21s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave3_3_raw_centered_shape_curve_aware__polished_setpoints

9

te_wave3_3_raw_centered_shape_curve_aware_bw__polished_setpoints

curve_aware_harmonic_residual_offset_probe

0.002285

0.003628

0.001939

85,747

36m 15s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave3_3_raw_centered_shape_curve_aware__polished_setpoints

10

te_wave3_3_raw_centered_shape_curve_aware_bw__simplified_setpoints

curve_aware_harmonic_residual_offset_probe

0.003398

0.004115

0.003578

85,747

31m 35s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave3_3_raw_centered_shape_curve_aware__simplified_setpoints

11

te_wave3_3_raw_centered_shape_curve_aware_fw__simplified_setpoints

curve_aware_harmonic_residual_offset_probe

0.003429

0.004190

0.003567

85,747

29m 49s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave3_3_raw_centered_shape_curve_aware__simplified_setpoints

12

te_wave3_3_raw_centered_shape_curve_aware_global__simplified_setpoints

curve_aware_harmonic_residual_offset_probe

0.003524

0.004312

0.003570

85,747

29m 11s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave3_3_raw_centered_shape_curve_aware__simplified_setpoints

wave3_3_raw_offset_curve_aware

  • Best run: N/A

  • Best test MAE: N/A

  • Completed tracked runs: 12

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_wave3_3_raw_offset_curve_aware_bw

curve_aware_harmonic_residual_offset_probe

0.001898

0.002445

0.001768

85,440

49m 46s

1.00 MB

High

High

polished_dataset_full_wave_retraining_2026_06_22

2

te_wave3_3_raw_offset_curve_aware_fw

curve_aware_harmonic_residual_offset_probe

0.001953

0.002499

0.001833

85,440

28m 03s

1.00 MB

High

Medium

polished_dataset_full_wave_retraining_2026_06_22

3

te_wave3_3_raw_offset_curve_aware_bw__polished_actual_values

curve_aware_harmonic_residual_offset_probe

0.001975

0.003015

0.001850

85,747

48m 56s

1.00 MB

High

High

dataset_input_mode_retraining__wave3_3_raw_offset_curve_aware__polished_actual_values

4

te_wave3_3_raw_offset_curve_aware_global__polished_actual_values

curve_aware_harmonic_residual_offset_probe

0.002001

0.003029

0.001870

85,747

43m 39s

1.00 MB

High

High

dataset_input_mode_retraining__wave3_3_raw_offset_curve_aware__polished_actual_values

5

te_wave3_3_raw_offset_curve_aware_global

curve_aware_harmonic_residual_offset_probe

0.002014

0.002561

0.001863

85,440

25m 59s

1.00 MB

High

Medium

polished_dataset_full_wave_retraining_2026_06_22

6

te_wave3_3_raw_offset_curve_aware_fw__polished_actual_values

curve_aware_harmonic_residual_offset_probe

0.002096

0.003143

0.001928

85,747

33m 09s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave3_3_raw_offset_curve_aware__polished_actual_values

7

te_wave3_3_raw_offset_curve_aware_global__polished_setpoints

curve_aware_harmonic_residual_offset_probe

0.002203

0.003560

0.001895

85,747

36m 49s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave3_3_raw_offset_curve_aware__polished_setpoints

8

te_wave3_3_raw_offset_curve_aware_bw__polished_setpoints

curve_aware_harmonic_residual_offset_probe

0.002280

0.003638

0.002011

85,747

28m 22s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave3_3_raw_offset_curve_aware__polished_setpoints

9

te_wave3_3_raw_offset_curve_aware_fw__polished_setpoints

curve_aware_harmonic_residual_offset_probe

0.002285

0.003630

0.001950

85,747

35m 32s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave3_3_raw_offset_curve_aware__polished_setpoints

10

te_wave3_3_raw_offset_curve_aware_bw__simplified_setpoints

curve_aware_harmonic_residual_offset_probe

0.003400

0.004187

0.003571

85,747

35m 17s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave3_3_raw_offset_curve_aware__simplified_setpoints

11

te_wave3_3_raw_offset_curve_aware_fw__simplified_setpoints

curve_aware_harmonic_residual_offset_probe

0.003464

0.004225

0.003581

85,747

33m 23s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave3_3_raw_offset_curve_aware__simplified_setpoints

12

te_wave3_3_raw_offset_curve_aware_global__simplified_setpoints

curve_aware_harmonic_residual_offset_probe

0.003501

0.004263

0.003544

85,747

38m 05s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave3_3_raw_offset_curve_aware__simplified_setpoints

wave3_harmonic_prior_residual_pointwise_control_bw

  • Best run: te_wave3_harmonic_prior_residual_pointwise_control_bw

  • Best test MAE: 0.003363

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_wave3_harmonic_prior_residual_pointwise_control_bw

wave3_harmonic_prior_residual

0.003363

0.003902

0.003634

7,283

14m 45s

0.11 MB

Low

Low

wave3_harmonic_prior_residual_campaign_2026_06_14

wave3_harmonic_prior_residual_smooth_l1_structured_bw

  • Best run: te_wave3_harmonic_prior_residual_smooth_l1_structured_bw

  • Best test MAE: 0.003431

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_wave3_harmonic_prior_residual_smooth_l1_structured_bw

wave3_harmonic_prior_residual

0.003431

0.003953

0.003644

7,283

13m 56s

0.11 MB

Low

Low

wave3_harmonic_prior_residual_campaign_2026_06_14

wave4_1_log_cosh_robust_loss

  • Best run: N/A

  • Best test MAE: N/A

  • Completed tracked runs: 12

  • Known failed campaign attempts: 1

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_wave4_1_log_cosh_robust_loss_bw

curve_aware_harmonic_residual_offset_probe

0.001899

0.002442

0.001766

85,440

57m 26s

1.00 MB

High

High

polished_dataset_full_wave_retraining_2026_06_22

2

te_wave4_1_log_cosh_robust_loss_global

curve_aware_harmonic_residual_offset_probe

0.001913

0.002459

0.001776

85,440

41m 02s

1.00 MB

High

High

polished_dataset_full_wave_retraining_2026_06_22

3

te_wave4_1_log_cosh_robust_loss_fw

curve_aware_harmonic_residual_offset_probe

0.001921

0.002465

0.001807

85,440

40m 58s

1.00 MB

High

High

polished_dataset_full_wave_retraining_2026_06_22

4

te_wave4_1_log_cosh_robust_loss_fw__polished_actual_values

curve_aware_harmonic_residual_offset_probe

0.001955

0.002994

0.001827

85,747

49m 06s

1.00 MB

High

High

dataset_input_mode_retraining__wave4_1_log_cosh_robust_loss__polished_actual_values

5

te_wave4_1_log_cosh_robust_loss_bw__polished_actual_values

curve_aware_harmonic_residual_offset_probe

0.001995

0.003057

0.001871

85,747

33m 18s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave4_1_log_cosh_robust_loss__polished_actual_values

6

te_wave4_1_log_cosh_robust_loss_global__polished_actual_values

curve_aware_harmonic_residual_offset_probe

0.002046

0.003090

0.001899

85,747

32m 48s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave4_1_log_cosh_robust_loss__polished_actual_values

7

te_wave4_1_log_cosh_robust_loss_global__polished_setpoints

curve_aware_harmonic_residual_offset_probe

0.002200

0.003572

0.001912

85,747

39m 50s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave4_1_log_cosh_robust_loss__polished_setpoints

8

te_wave4_1_log_cosh_robust_loss_fw__polished_setpoints

curve_aware_harmonic_residual_offset_probe

0.002289

0.003641

0.001960

85,747

28m 41s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave4_1_log_cosh_robust_loss__polished_setpoints

9

te_wave4_1_log_cosh_robust_loss_bw__polished_setpoints

curve_aware_harmonic_residual_offset_probe

0.002290

0.003645

0.001966

85,747

19m 26s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave4_1_log_cosh_robust_loss__polished_setpoints

10

te_wave4_1_log_cosh_robust_loss_global__simplified_setpoints

curve_aware_harmonic_residual_offset_probe

0.003339

0.004048

0.003573

85,747

30m 09s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave4_1_log_cosh_robust_loss__simplified_setpoints

11

te_wave4_1_log_cosh_robust_loss_fw__simplified_setpoints

curve_aware_harmonic_residual_offset_probe

0.003398

0.004187

0.003542

85,747

27m 11s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave4_1_log_cosh_robust_loss__simplified_setpoints

12

te_wave4_1_log_cosh_robust_loss_bw__simplified_setpoints

curve_aware_harmonic_residual_offset_probe

0.003402

0.004189

0.003527

85,747

26m 29s

1.00 MB

High

Medium

dataset_input_mode_retraining__wave4_1_log_cosh_robust_loss__simplified_setpoints

Known failed campaign attempts for this family:

  • te_wave4_1_log_cosh_robust_loss_fw__polished_setpoints | campaign dataset_input_mode_retraining__wave4_1_log_cosh_robust_loss__polished_setpoints | model type curve_aware_harmonic_residual_offset_probe | error [Errno 28] No space left on device

wave4_4_causal_tcn_latent_offset_residual

  • Best run: N/A

  • Best test MAE: N/A

  • Completed tracked runs: 12

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_wave4_4_causal_tcn_latent_offset_residual_bw

latent_state_hysteresis_probe

0.002309

0.002974

0.002204

97,155

30m 27s

1.16 MB

High

Medium

polished_dataset_full_wave_retraining_2026_06_22

2

te_wave4_4_causal_tcn_latent_offset_residual_global

latent_state_hysteresis_probe

0.002315

0.002986

0.002217

97,155

26m 42s

1.16 MB

High

Medium

polished_dataset_full_wave_retraining_2026_06_22

3

te_wave4_4_causal_tcn_latent_offset_residual_fw

latent_state_hysteresis_probe

0.002316

0.002980

0.002224

97,155

28m 28s

1.16 MB

High

Medium

polished_dataset_full_wave_retraining_2026_06_22

4

te_wave4_4_causal_tcn_latent_offset_residual_bw__polished_actual_values

latent_state_hysteresis_probe

0.002344

0.003435

0.002227

97,923

15m 16s

1.17 MB

High

Medium

dataset_input_mode_retraining__wave4_4_causal_tcn_latent_offset_residual__polished_actual_values

5

te_wave4_4_causal_tcn_latent_offset_residual_fw__polished_actual_values

latent_state_hysteresis_probe

0.002372

0.003458

0.002254

97,923

14m 07s

1.17 MB

High

Low

dataset_input_mode_retraining__wave4_4_causal_tcn_latent_offset_residual__polished_actual_values

6

te_wave4_4_causal_tcn_latent_offset_residual_global__polished_actual_values

latent_state_hysteresis_probe

0.002420

0.003542

0.002304

97,923

12m 34s

1.17 MB

High

Low

dataset_input_mode_retraining__wave4_4_causal_tcn_latent_offset_residual__polished_actual_values

7

te_wave4_4_causal_tcn_latent_offset_residual_fw__polished_setpoints

latent_state_hysteresis_probe

0.002513

0.003854

0.002215

97,923

23m 35s

1.17 MB

High

Medium

dataset_input_mode_retraining__wave4_4_causal_tcn_latent_offset_residual__polished_setpoints

8

te_wave4_4_causal_tcn_latent_offset_residual_global__polished_setpoints

latent_state_hysteresis_probe

0.002515

0.003880

0.002228

97,923

16m 33s

1.17 MB

High

Medium

dataset_input_mode_retraining__wave4_4_causal_tcn_latent_offset_residual__polished_setpoints

9

te_wave4_4_causal_tcn_latent_offset_residual_bw__polished_setpoints

latent_state_hysteresis_probe

0.002527

0.003882

0.002240

97,923

18m 42s

1.17 MB

High

Medium

dataset_input_mode_retraining__wave4_4_causal_tcn_latent_offset_residual__polished_setpoints

10

te_wave4_4_causal_tcn_latent_offset_residual_fw__simplified_setpoints

latent_state_hysteresis_probe

0.003343

0.004238

0.003498

97,923

24m 24s

1.17 MB

High

Medium

dataset_input_mode_retraining__wave4_4_causal_tcn_latent_offset_residual__simplified_setpoints

11

te_wave4_4_causal_tcn_latent_offset_residual_global__simplified_setpoints

latent_state_hysteresis_probe

0.003548

0.004384

0.003766

97,923

7m 10s

1.17 MB

High

Low

dataset_input_mode_retraining__wave4_4_causal_tcn_latent_offset_residual__simplified_setpoints

12

te_wave4_4_causal_tcn_latent_offset_residual_bw__simplified_setpoints

latent_state_hysteresis_probe

0.003555

0.004415

0.003709

97,923

13m 13s

1.17 MB

High

Low

dataset_input_mode_retraining__wave4_4_causal_tcn_latent_offset_residual__simplified_setpoints

wave4_4_gru_latent_offset_residual

  • Best run: N/A

  • Best test MAE: N/A

  • Completed tracked runs: 12

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_wave4_4_gru_latent_offset_residual_bw

latent_state_hysteresis_probe

0.002260

0.002915

0.002191

124,899

38m 01s

1.48 MB

High

Medium

polished_dataset_full_wave_retraining_2026_06_22

2

te_wave4_4_gru_latent_offset_residual_global__polished_actual_values

latent_state_hysteresis_probe

0.002271

0.003341

0.002173

125,475

46m 05s

1.48 MB

High

High

dataset_input_mode_retraining__wave4_4_gru_latent_offset_residual__polished_actual_values

3

te_wave4_4_gru_latent_offset_residual_global

latent_state_hysteresis_probe

0.002287

0.002934

0.002195

124,899

36m 39s

1.48 MB

High

Medium

polished_dataset_full_wave_retraining_2026_06_22

4

te_wave4_4_gru_latent_offset_residual_fw

latent_state_hysteresis_probe

0.002300

0.002953

0.002201

124,899

28m 49s

1.48 MB

High

Medium

polished_dataset_full_wave_retraining_2026_06_22

5

te_wave4_4_gru_latent_offset_residual_bw__polished_actual_values

latent_state_hysteresis_probe

0.002328

0.003372

0.002228

125,475

29m 49s

1.48 MB

High

Medium

dataset_input_mode_retraining__wave4_4_gru_latent_offset_residual__polished_actual_values

6

te_wave4_4_gru_latent_offset_residual_fw__polished_actual_values

latent_state_hysteresis_probe

0.002363

0.003419

0.002247

125,475

21m 49s

1.48 MB

High

Medium

dataset_input_mode_retraining__wave4_4_gru_latent_offset_residual__polished_actual_values

7

te_wave4_4_gru_latent_offset_residual_fw__polished_setpoints

latent_state_hysteresis_probe

0.002488

0.003826

0.002218

125,475

31m 06s

1.48 MB

High

Medium

dataset_input_mode_retraining__wave4_4_gru_latent_offset_residual__polished_setpoints

8

te_wave4_4_gru_latent_offset_residual_global__polished_setpoints

latent_state_hysteresis_probe

0.002534

0.003918

0.002223

125,475

24m 09s

1.48 MB

High

Medium

dataset_input_mode_retraining__wave4_4_gru_latent_offset_residual__polished_setpoints

9

te_wave4_4_gru_latent_offset_residual_bw__polished_setpoints

latent_state_hysteresis_probe

0.002568

0.003925

0.002265

125,475

14m 07s

1.48 MB

High

Low

dataset_input_mode_retraining__wave4_4_gru_latent_offset_residual__polished_setpoints

10

te_wave4_4_gru_latent_offset_residual_bw__simplified_setpoints

latent_state_hysteresis_probe

0.003510

0.004334

0.003772

125,475

12m 27s

1.48 MB

High

Low

dataset_input_mode_retraining__wave4_4_gru_latent_offset_residual__simplified_setpoints

11

te_wave4_4_gru_latent_offset_residual_global__simplified_setpoints

latent_state_hysteresis_probe

0.003535

0.004351

0.003757

125,475

12m 06s

1.48 MB

High

Low

dataset_input_mode_retraining__wave4_4_gru_latent_offset_residual__simplified_setpoints

12

te_wave4_4_gru_latent_offset_residual_fw__simplified_setpoints

latent_state_hysteresis_probe

0.003563

0.004400

0.003719

125,475

14m 49s

1.48 MB

High

Low

dataset_input_mode_retraining__wave4_4_gru_latent_offset_residual__simplified_setpoints

wave52b_offset_harmonic_guided_offset_centered_shape_bw

  • Best run: te_wave52b_offset_harmonic_guided_offset_centered_shape_bw

  • Best test MAE: 0.002012

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_wave52b_offset_harmonic_guided_offset_centered_shape_bw

wave52b_offset_harmonic_guided

0.002012

0.002626

0.002604

22,593

35m 50s

0.30 MB

Medium

Medium

wave52b_offset_harmonic_guided_campaign_2026_07_01

wave52b_offset_harmonic_guided_offset_centered_shape_harmonic_bw

  • Best run: te_wave52b_offset_harmonic_guided_offset_centered_shape_harmonic_bw

  • Best test MAE: 0.001677

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_wave52b_offset_harmonic_guided_offset_centered_shape_harmonic_bw

wave52b_offset_harmonic_guided

0.001677

0.002151

0.002320

22,593

29m 54s

0.30 MB

Medium

Medium

wave52b_offset_harmonic_guided_campaign_2026_07_01

wave52b_offset_harmonic_guided_offset_head_bw

  • Best run: te_wave52b_offset_harmonic_guided_offset_head_bw

  • Best test MAE: 0.002008

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_wave52b_offset_harmonic_guided_offset_head_bw

wave52b_offset_harmonic_guided

0.002008

0.002632

0.002597

22,593

32m 03s

0.30 MB

Medium

Medium

wave52b_offset_harmonic_guided_campaign_2026_07_01

wave52b_offset_harmonic_guided_pointwise_control_bw

  • Best run: te_wave52b_offset_harmonic_guided_pointwise_control_bw

  • Best test MAE: 0.001979

  • Completed tracked runs: 1

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_wave52b_offset_harmonic_guided_pointwise_control_bw

wave52b_offset_harmonic_guided

0.001979

0.002587

0.002591

22,593

29m 15s

0.30 MB

Medium

Medium

wave52b_offset_harmonic_guided_campaign_2026_07_01

wave5_1_harmonic_prior_pointwise_control

  • Best run: N/A

  • Best test MAE: N/A

  • Completed tracked runs: 6

  • Known failed campaign attempts: 0

Rank

Run

Model Type

Test MAE [deg]

Test RMSE [deg]

Val MAE [deg]

Params

Duration

Artifact Size

Model Complexity

Training Heaviness

Campaign

1

te_wave5_1_harmonic_prior_pointwise_control_bw

wave3_harmonic_prior_residual

0.002105

0.002680

0.001893

7,168

35m 57s

0.10 MB

Low

Medium

polished_dataset_full_wave_retraining_2026_06_22

2

te_wave5_1_harmonic_prior_pointwise_control_global

wave3_harmonic_prior_residual

0.002159

0.002754

0.001894

7,168

30m 00s

0.10 MB

Low

Medium

polished_dataset_full_wave_retraining_2026_06_22

3

te_wave5_1_harmonic_prior_pointwise_control_fw

wave3_harmonic_prior_residual

0.002185

0.002776

0.001913

7,168

19m 31s

0.10 MB

Low

Medium

polished_dataset_full_wave_retraining_2026_06_22

4

te_wave5_1_harmonic_prior_pointwise_control_fw__simplified_setpoints

wave3_harmonic_prior_residual

0.003386

0.004122

0.003563

7,283

26m 19s

0.11 MB

Low

Medium

dataset_input_mode_retraining__wave5_1_harmonic_prior_pointwise_control__simplified_setpoints

5

te_wave5_1_harmonic_prior_pointwise_control_global__simplified_setpoints

wave3_harmonic_prior_residual

0.003417

0.004130

0.003597

7,283

18m 55s

0.11 MB

Low

Medium

dataset_input_mode_retraining__wave5_1_harmonic_prior_pointwise_control__simplified_setpoints

6

te_wave5_1_harmonic_prior_pointwise_control_bw__simplified_setpoints

wave3_harmonic_prior_residual

0.003434

0.004181

0.003644

7,283

12m 11s

0.11 MB

Low

Low

dataset_input_mode_retraining__wave5_1_harmonic_prior_pointwise_control__simplified_setpoints

Source Of Truth

  • Live backlog: doc/running/te_model_live_backlog.md

  • Active campaign state: doc/running/active_training_campaign.yaml

  • Program registry: output/registries/program/current_best_solution.yaml

  • Family registries root: output/registries/families

  • Training campaign root: output/training_campaigns

  • Training run root: output/training_runs

  • Paper reference report: doc/reports/analysis/RCIM Paper Reference Benchmark.md

This document is repository-generated. Regenerate it after new campaign results so the cross-family snapshot stays aligned with the canonical registries and campaign artifacts.