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One model (user instruction 2026-11-06). Trained on dataset-exp-1 mdof_knet_v1.", + "device": "cuda:0", + "allowed_gpus": [ + "H200" + ], + "data_root": "~/seismic-exp7/experiment/exp/dataset-exp-1/runs/data/mdof_knet_v1", + "data_version": "dataset-exp-1 configs/knet_v1.json (mdof_knet_v1)", + "seeds": [ + 20261105, + 20261106, + 20261107 + ], + "intensity_vocabulary": [ + 0, + 6, + 7, + 8, + 9 + ], + "structure_type_index": { + "RCF": 0, + "RCW": 1, + "URM": 2, + "RM": 3 + }, + "structure_features": [ + { + "name": "stories", + "transform": "linear", + "scale": 10 + }, + { + "name": "T1_s", + "transform": "linear", + "scale": 1 + } + ], + "model_preset": "base", + "variant_notes": { + "xattn_roof_ds": "exp14 f5b_xattn + roof peak displacement term (weight 0.1, Huber delta 0.1, like PFA) + DS head 'tokens+response'. Full training length (steps auto, ~64,700 updates); exp14 f5b_xattn stopped at 32,000 while still improving (best 30,914)." + }, + "reference": { + "exp14_f5b_xattn": "../exp14-knet-v1-dshead/runs/exp14/f5b_xattn/seed20261105/best.pt" + }, + "reference_note": "Evaluated with exp15 codes/run.py --reference (same splits and metrics) for the comparison in the report.", + "roof_disp_note": "Training only (like PFA): roof_disp_weight x mean over cases of Huber_delta(e)/delta, e = (max_t|u_roof pred| - max_t|u_roof true|)/max(max_t|u_roof true|, roof_disp_floor); roof_disp_floor = training 5th percentile of the roof peak displacement (fitted by run.py).", + "ds_head_inputs_note": "'tokens' = exp14 (pooled encoder tokens with condition FiLM + condition); 'tokens+response' adds the mean and max over floors and time of the xattn displacement decoder's last hidden state (LayerNorm) and an MLP of 8 drift features of the predicted displacement (log10 peak drift / DS1-4 limits, log10 peak drift, mean log10 floor peak drift, log10 roof drift ratio, height fraction of the peak floor). 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"variant": "ft_RCF", + "seed": 20261105, + "config": { + "version": "exp16-rm-residual-v1", + "stage": "exp16", + "scope": "exp15 xattn_roof_ds model and loss trained on reinforced masonry (RM) only, with three loss versions: control (exp15 loss), + residual displacement term, + maximum residual inter-story drift term (user instruction 2026-11-08: learn one building type's linear and nonlinear response and residual deformation first, generalization later). Trained on dataset-exp-1 mdof_knet_v1, RM rows of every split.", + "kinds": [ + "RCF" + ], + "kinds_note": "data.Dataset keeps only these structure types in every split (train, val, testA/B/C, ida).", + "resid_window_s": 2, + "init_encoder_from": null, + "freeze_encoder": true, + "init_model_from": "../exp15-xattn-roofdisp/runs/exp15/xattn_roof_ds/seed20261105/best.pt", + "init_model_note": "Stage 3 (user 2026-11-08: fine-tune the exp15 decoders per type): init_model_from (path relative to this experiment folder) loads every weight of a checkpoint (strict) and its output scales, so update 0 is exactly that model; validation is also scored at update 0, so the selected checkpoint can be the unchanged source model.", + "encoder_note": "init_encoder_from (path relative to this experiment folder) copies the ground-motion encoder (model.temporal) from a checkpoint; freeze_encoder keeps it fixed (no gradient, eval mode, sha256 checked before and after training). Stage 2 (per-type decoders): every type shares the frozen exp15 encoder; condition encoder, both xattn decoders and DS head are trained from scratch on that type only.", + "resid_window_note": "residual displacement of a floor = mean relative displacement over the last resid_window_s seconds of the record (same definition as exp15_strata).", + "device": "cuda:0", + "allowed_gpus": [ + "H200" + ], + "data_root": "~/seismic-exp7/experiment/exp/dataset-exp-1/runs/data/mdof_knet_v1", + "data_version": "dataset-exp-1 configs/knet_v1.json (mdof_knet_v1)", + "seeds": [ + 20261105, + 20261106, + 20261107 + ], + "intensity_vocabulary": [ + 0, + 6, + 7, + 8, + 9 + ], + "structure_type_index": { + "RCF": 0, + "RCW": 1, + "URM": 2, + "RM": 3 + }, + "structure_features": [ + { + "name": "stories", + "transform": "linear", + "scale": 10 + }, + { + "name": "T1_s", + "transform": "linear", + "scale": 1 + } + ], + "model_preset": "base", + "variant_notes": { + "rm_base": "Control: exactly the exp15 xattn_roof_ds model and loss, trained on RM only.", + "rm_resid": "rm_base + 1.0 x residual displacement term: every floor's residual displacement (mean of the last 2 s), signed, error divided by the case's true peak displacement, Huber delta 0.1.", + "rm_ridr": "rm_base + 1.0 x maximum residual inter-story drift ratio term: max over stories of |residual drift|, error divided by the case's true peak inter-story drift ratio, Huber delta 0.1.", + "dec_RCF": "Stage 2 (user 2026-11-08: one shared encoder, different decoders): frozen exp15 xattn_roof_ds ground-motion encoder; condition encoder, xattn displacement/acceleration decoders and DS head trained from scratch on RCF only with the rm_resid loss (best of stage 1 on test MSE).", + "dec_RCW": "As dec_RCF, RCW only.", + "dec_URM": "As dec_RCF, URM only.", + "dec_RM": "As dec_RCF, RM only; compared with rm_resid it isolates the effect of the shared frozen encoder.", + "ft_RCF": "Stage 3 (user 2026-11-08: fine-tune from the decoders trained on all four types): every weight starts from exp15 xattn_roof_ds, the ground-motion encoder stays frozen; condition encoder, both xattn decoders and DS head are fine-tuned on RCF only with the rm_resid loss (derivative terms at full weight from update 1, as at the end of exp15), lr 1e-4 peak, 200 warmup updates, cosine to 1e-6, about 15 passes clipped to [3000, 20000] updates; update 0 (= exp15) competes in checkpoint selection. Same loss as dec_RCF, so stage 3 vs stage 2 isolates the initialization.", + "ft_RCW": "As ft_RCF, RCW only.", + "ft_URM": "As ft_RCF, URM only.", + "ft_RM": "As ft_RCF, RM only." + }, + "resid_weight_note": "Weight 1.0 (PFA and roof terms use 0.1). Measured on exp15 predictions for 1,024 RM training cases (unweighted): response loss 0.534, residual displacement term 0.031, residual drift term 0.038; at 0.1 each would be under 1% of the loss, at 1.0 about 6-7%. Single choice, not tuned.", + "reference": { + "exp15_mixed": "../exp15-xattn-roofdisp/runs/exp15/xattn_roof_ds/seed20261105/best.pt" + }, + "reference_note": "exp15 (trained on all four types) evaluated with exp16 codes/run.py --reference on the same RM-only splits: the mixed-training baseline.", + "roof_disp_note": "Training only (like PFA): roof_disp_weight x mean over cases of Huber_delta(e)/delta, e = (max_t|u_roof pred| - max_t|u_roof true|)/max(max_t|u_roof true|, roof_disp_floor); roof_disp_floor = training 5th percentile of the roof peak displacement (fitted by run.py).", + "ds_head_inputs_note": "'tokens' = exp14 (pooled encoder tokens with condition FiLM + condition); 'tokens+response' adds the mean and max over floors and time of the xattn displacement decoder's last hidden state (LayerNorm) and an MLP of 8 drift features of the predicted displacement (log10 peak drift / DS1-4 limits, log10 peak drift, mean log10 floor peak drift, log10 roof drift ratio, height fraction of the peak floor). Both are detached: the cross-entropy does not change the response decoders. Story heights and DS limits are declared building data.", + "velocity_weight": 0.1, + "curvature_weight": 0.002, + "derivative_ramp": null, + "derivative_ramp_note": "null = derivative terms at full weight from update 1; [a, b] = off until update a, linear to full weight at b", + "derivative_loss_note": "exp14 F5 (training only): + velocity_weight x per-case normalized MSE of the displacement's first difference x fs + curvature_weight x the same for the second difference x fs^2 (target = the true displacement's second difference = relative acceleration). 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0000000000000000000000000000000000000000..df8ba928d724225dc1902cbc299c7a07b14d5e70 --- /dev/null +++ b/experiment/exp/exp16-rm-residual/runs/exp16/ft_RCW/seed20261105/provenance.json @@ -0,0 +1,240 @@ +{ + "git_sha": "b659fe0338df238df5010bb14b44eae9f43c9d96", + "variant": "ft_RCW", + "seed": 20261105, + "config": { + "version": "exp16-rm-residual-v1", + "stage": "exp16", + "scope": "exp15 xattn_roof_ds model and loss trained on reinforced masonry (RM) only, with three loss versions: control (exp15 loss), + residual displacement term, + maximum residual inter-story drift term (user instruction 2026-11-08: learn one building type's linear and nonlinear response and residual deformation first, generalization later). Trained on dataset-exp-1 mdof_knet_v1, RM rows of every split.", + "kinds": [ + "RCW" + ], + "kinds_note": "data.Dataset keeps only these structure types in every split (train, val, testA/B/C, ida).", + "resid_window_s": 2, + "init_encoder_from": null, + "freeze_encoder": true, + "init_model_from": "../exp15-xattn-roofdisp/runs/exp15/xattn_roof_ds/seed20261105/best.pt", + "init_model_note": "Stage 3 (user 2026-11-08: fine-tune the exp15 decoders per type): init_model_from (path relative to this experiment folder) loads every weight of a checkpoint (strict) and its output scales, so update 0 is exactly that model; validation is also scored at update 0, so the selected checkpoint can be the unchanged source model.", + "encoder_note": "init_encoder_from (path relative to this experiment folder) copies the ground-motion encoder (model.temporal) from a checkpoint; freeze_encoder keeps it fixed (no gradient, eval mode, sha256 checked before and after training). Stage 2 (per-type decoders): every type shares the frozen exp15 encoder; condition encoder, both xattn decoders and DS head are trained from scratch on that type only.", + "resid_window_note": "residual displacement of a floor = mean relative displacement over the last resid_window_s seconds of the record (same definition as exp15_strata).", + "device": "cuda:0", + "allowed_gpus": [ + "H200" + ], + "data_root": "~/seismic-exp7/experiment/exp/dataset-exp-1/runs/data/mdof_knet_v1", + "data_version": "dataset-exp-1 configs/knet_v1.json (mdof_knet_v1)", + "seeds": [ + 20261105, + 20261106, + 20261107 + ], + "intensity_vocabulary": [ + 0, + 6, + 7, + 8, + 9 + ], + "structure_type_index": { + "RCF": 0, + "RCW": 1, + "URM": 2, + "RM": 3 + }, + "structure_features": [ + { + "name": "stories", + "transform": "linear", + "scale": 10 + }, + { + "name": "T1_s", + "transform": "linear", + "scale": 1 + } + ], + "model_preset": "base", + "variant_notes": { + "rm_base": "Control: exactly the exp15 xattn_roof_ds model and loss, trained on RM only.", + "rm_resid": "rm_base + 1.0 x residual displacement term: every floor's residual displacement (mean of the last 2 s), signed, error divided by the case's true peak displacement, Huber delta 0.1.", + "rm_ridr": "rm_base + 1.0 x maximum residual inter-story drift ratio term: max over stories of |residual drift|, error divided by the case's true peak inter-story drift ratio, Huber delta 0.1.", + "dec_RCF": "Stage 2 (user 2026-11-08: one shared encoder, different decoders): frozen exp15 xattn_roof_ds ground-motion encoder; condition encoder, xattn displacement/acceleration decoders and DS head trained from scratch on RCF only with the rm_resid loss (best of stage 1 on test MSE).", + "dec_RCW": "As dec_RCF, RCW only.", + "dec_URM": "As dec_RCF, URM only.", + "dec_RM": "As dec_RCF, RM only; compared with rm_resid it isolates the effect of the shared frozen encoder.", + "ft_RCF": "Stage 3 (user 2026-11-08: fine-tune from the decoders trained on all four types): every weight starts from exp15 xattn_roof_ds, the ground-motion encoder stays frozen; condition encoder, both xattn decoders and DS head are fine-tuned on RCF only with the rm_resid loss (derivative terms at full weight from update 1, as at the end of exp15), lr 1e-4 peak, 200 warmup updates, cosine to 1e-6, about 15 passes clipped to [3000, 20000] updates; update 0 (= exp15) competes in checkpoint selection. Same loss as dec_RCF, so stage 3 vs stage 2 isolates the initialization.", + "ft_RCW": "As ft_RCF, RCW only.", + "ft_URM": "As ft_RCF, URM only.", + "ft_RM": "As ft_RCF, RM only." + }, + "resid_weight_note": "Weight 1.0 (PFA and roof terms use 0.1). Measured on exp15 predictions for 1,024 RM training cases (unweighted): response loss 0.534, residual displacement term 0.031, residual drift term 0.038; at 0.1 each would be under 1% of the loss, at 1.0 about 6-7%. Single choice, not tuned.", + "reference": { + "exp15_mixed": "../exp15-xattn-roofdisp/runs/exp15/xattn_roof_ds/seed20261105/best.pt" + }, + "reference_note": "exp15 (trained on all four types) evaluated with exp16 codes/run.py --reference on the same RM-only splits: the mixed-training baseline.", + "roof_disp_note": "Training only (like PFA): roof_disp_weight x mean over cases of Huber_delta(e)/delta, e = (max_t|u_roof pred| - max_t|u_roof true|)/max(max_t|u_roof true|, roof_disp_floor); roof_disp_floor = training 5th percentile of the roof peak displacement (fitted by run.py).", + "ds_head_inputs_note": "'tokens' = exp14 (pooled encoder tokens with condition FiLM + condition); 'tokens+response' adds the mean and max over floors and time of the xattn displacement decoder's last hidden state (LayerNorm) and an MLP of 8 drift features of the predicted displacement (log10 peak drift / DS1-4 limits, log10 peak drift, mean log10 floor peak drift, log10 roof drift ratio, height fraction of the peak floor). Both are detached: the cross-entropy does not change the response decoders. Story heights and DS limits are declared building data.", + "velocity_weight": 0.1, + "curvature_weight": 0.002, + "derivative_ramp": null, + "derivative_ramp_note": "null = derivative terms at full weight from update 1; [a, b] = off until update a, linear to full weight at b", + "derivative_loss_note": "exp14 F5 (training only): + velocity_weight x per-case normalized MSE of the displacement's first difference x fs + curvature_weight x the same for the second difference x fs^2 (target = the true displacement's second difference = relative acceleration). Selection objective unchanged (three response terms + 0.1 CE).", + "train_ds_max": null, + "train_ds_max_note": "null = all training cases; an integer keeps only training cases with true DS <= value (validation unchanged)", + "loss_floor_fraction": 0.0001, + "loss_floor_fraction_note": "per-case loss denominator = max(mean truth^2, (loss_floor_fraction x global scale)^2); exp14 F1 uses 1e-4", + "ds_weight": 0.1, + "ds_weight_source": "user choice 2026-11-05 (whole-building DS0-4, cross-entropy x 0.1)", + "pfa_weight_source": "exp12 frozen 0.1 (as exp13, exp14)", + "recipe_source": "exp13 frozen recipe lr 1e-3 / warmup 1000", + "steps": 18122, + "steps_rule": "about steps_passes (30) passes over the training cases, clipped to steps_clip ([12000, 80000]) updates (exp7/exp13 rule); stage 3 fine-tuning uses 15 passes clipped to [3000, 20000]", + "steps_passes": 15, + "steps_clip": [ + 3000, + 20000 + ], + "batch_size": 32, + "batch_sampling": "mixed", + "learning_rate": 0.0001, + 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0000000000000000000000000000000000000000..4c16f09819a381bcc72758cb2dd4e337cb5af484 --- /dev/null +++ b/experiment/exp/exp16-rm-residual/runs/exp16/ft_RM/seed20261105/provenance.json @@ -0,0 +1,240 @@ +{ + "git_sha": "b659fe0338df238df5010bb14b44eae9f43c9d96", + "variant": "ft_RM", + "seed": 20261105, + "config": { + "version": "exp16-rm-residual-v1", + "stage": "exp16", + "scope": "exp15 xattn_roof_ds model and loss trained on reinforced masonry (RM) only, with three loss versions: control (exp15 loss), + residual displacement term, + maximum residual inter-story drift term (user instruction 2026-11-08: learn one building type's linear and nonlinear response and residual deformation first, generalization later). Trained on dataset-exp-1 mdof_knet_v1, RM rows of every split.", + "kinds": [ + "RM" + ], + "kinds_note": "data.Dataset keeps only these structure types in every split (train, val, testA/B/C, ida).", + "resid_window_s": 2, + "init_encoder_from": null, + "freeze_encoder": true, + "init_model_from": "../exp15-xattn-roofdisp/runs/exp15/xattn_roof_ds/seed20261105/best.pt", + "init_model_note": "Stage 3 (user 2026-11-08: fine-tune the exp15 decoders per type): init_model_from (path relative to this experiment folder) loads every weight of a checkpoint (strict) and its output scales, so update 0 is exactly that model; validation is also scored at update 0, so the selected checkpoint can be the unchanged source model.", + "encoder_note": "init_encoder_from (path relative to this experiment folder) copies the ground-motion encoder (model.temporal) from a checkpoint; freeze_encoder keeps it fixed (no gradient, eval mode, sha256 checked before and after training). Stage 2 (per-type decoders): every type shares the frozen exp15 encoder; condition encoder, both xattn decoders and DS head are trained from scratch on that type only.", + "resid_window_note": "residual displacement of a floor = mean relative displacement over the last resid_window_s seconds of the record (same definition as exp15_strata).", + "device": "cuda:0", + "allowed_gpus": [ + "H200" + ], + "data_root": "~/seismic-exp7/experiment/exp/dataset-exp-1/runs/data/mdof_knet_v1", + "data_version": "dataset-exp-1 configs/knet_v1.json (mdof_knet_v1)", + "seeds": [ + 20261105, + 20261106, + 20261107 + ], + "intensity_vocabulary": [ + 0, + 6, + 7, + 8, + 9 + ], + "structure_type_index": { + "RCF": 0, + "RCW": 1, + "URM": 2, + "RM": 3 + }, + "structure_features": [ + { + "name": "stories", + "transform": "linear", + "scale": 10 + }, + { + "name": "T1_s", + "transform": "linear", + "scale": 1 + } + ], + "model_preset": "base", + "variant_notes": { + "rm_base": "Control: exactly the exp15 xattn_roof_ds model and loss, trained on RM only.", + "rm_resid": "rm_base + 1.0 x residual displacement term: every floor's residual displacement (mean of the last 2 s), signed, error divided by the case's true peak displacement, Huber delta 0.1.", + "rm_ridr": "rm_base + 1.0 x maximum residual inter-story drift ratio term: max over stories of |residual drift|, error divided by the case's true peak inter-story drift ratio, Huber delta 0.1.", + "dec_RCF": "Stage 2 (user 2026-11-08: one shared encoder, different decoders): frozen exp15 xattn_roof_ds ground-motion encoder; condition encoder, xattn displacement/acceleration decoders and DS head trained from scratch on RCF only with the rm_resid loss (best of stage 1 on test MSE).", + "dec_RCW": "As dec_RCF, RCW only.", + "dec_URM": "As dec_RCF, URM only.", + "dec_RM": "As dec_RCF, RM only; compared with rm_resid it isolates the effect of the shared frozen encoder.", + "ft_RCF": "Stage 3 (user 2026-11-08: fine-tune from the decoders trained on all four types): every weight starts from exp15 xattn_roof_ds, the ground-motion encoder stays frozen; condition encoder, both xattn decoders and DS head are fine-tuned on RCF only with the rm_resid loss (derivative terms at full weight from update 1, as at the end of exp15), lr 1e-4 peak, 200 warmup updates, cosine to 1e-6, about 15 passes clipped to [3000, 20000] updates; update 0 (= exp15) competes in checkpoint selection. Same loss as dec_RCF, so stage 3 vs stage 2 isolates the initialization.", + "ft_RCW": "As ft_RCF, RCW only.", + "ft_URM": "As ft_RCF, URM only.", + "ft_RM": "As ft_RCF, RM only." + }, + "resid_weight_note": "Weight 1.0 (PFA and roof terms use 0.1). Measured on exp15 predictions for 1,024 RM training cases (unweighted): response loss 0.534, residual displacement term 0.031, residual drift term 0.038; at 0.1 each would be under 1% of the loss, at 1.0 about 6-7%. Single choice, not tuned.", + "reference": { + "exp15_mixed": "../exp15-xattn-roofdisp/runs/exp15/xattn_roof_ds/seed20261105/best.pt" + }, + "reference_note": "exp15 (trained on all four types) evaluated with exp16 codes/run.py --reference on the same RM-only splits: the mixed-training baseline.", + "roof_disp_note": "Training only (like PFA): roof_disp_weight x mean over cases of Huber_delta(e)/delta, e = (max_t|u_roof pred| - max_t|u_roof true|)/max(max_t|u_roof true|, roof_disp_floor); roof_disp_floor = training 5th percentile of the roof peak displacement (fitted by run.py).", + "ds_head_inputs_note": "'tokens' = exp14 (pooled encoder tokens with condition FiLM + condition); 'tokens+response' adds the mean and max over floors and time of the xattn displacement decoder's last hidden state (LayerNorm) and an MLP of 8 drift features of the predicted displacement (log10 peak drift / DS1-4 limits, log10 peak drift, mean log10 floor peak drift, log10 roof drift ratio, height fraction of the peak floor). Both are detached: the cross-entropy does not change the response decoders. Story heights and DS limits are declared building data.", + "velocity_weight": 0.1, + "curvature_weight": 0.002, + "derivative_ramp": null, + "derivative_ramp_note": "null = derivative terms at full weight from update 1; [a, b] = off until update a, linear to full weight at b", + "derivative_loss_note": "exp14 F5 (training only): + velocity_weight x per-case normalized MSE of the displacement's first difference x fs + curvature_weight x the same for the second difference x fs^2 (target = the true displacement's second difference = relative acceleration). Selection objective unchanged (three response terms + 0.1 CE).", + "train_ds_max": null, + "train_ds_max_note": "null = all training cases; an integer keeps only training cases with true DS <= value (validation unchanged)", + "loss_floor_fraction": 0.0001, + "loss_floor_fraction_note": "per-case loss denominator = max(mean truth^2, (loss_floor_fraction x global scale)^2); exp14 F1 uses 1e-4", + "ds_weight": 0.1, + "ds_weight_source": "user choice 2026-11-05 (whole-building DS0-4, cross-entropy x 0.1)", + "pfa_weight_source": "exp12 frozen 0.1 (as exp13, exp14)", + "recipe_source": "exp13 frozen recipe lr 1e-3 / warmup 1000", + "steps": 4947, + "steps_rule": "about steps_passes (30) passes over the training cases, clipped to steps_clip ([12000, 80000]) updates (exp7/exp13 rule); stage 3 fine-tuning uses 15 passes clipped to [3000, 20000]", + "steps_passes": 15, + "steps_clip": [ + 3000, + 20000 + ], + "batch_size": 32, + "batch_sampling": "mixed", + "learning_rate": 0.0001, + 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"stage": "exp16", + "scope": "exp15 xattn_roof_ds model and loss trained on reinforced masonry (RM) only, with three loss versions: control (exp15 loss), + residual displacement term, + maximum residual inter-story drift term (user instruction 2026-11-08: learn one building type's linear and nonlinear response and residual deformation first, generalization later). Trained on dataset-exp-1 mdof_knet_v1, RM rows of every split.", + "kinds": [ + "URM" + ], + "kinds_note": "data.Dataset keeps only these structure types in every split (train, val, testA/B/C, ida).", + "resid_window_s": 2, + "init_encoder_from": null, + "freeze_encoder": true, + "init_model_from": "../exp15-xattn-roofdisp/runs/exp15/xattn_roof_ds/seed20261105/best.pt", + "init_model_note": "Stage 3 (user 2026-11-08: fine-tune the exp15 decoders per type): init_model_from (path relative to this experiment folder) loads every weight of a checkpoint (strict) and its output scales, so update 0 is exactly that model; validation is also scored at update 0, so the selected checkpoint can be the unchanged source model.", + "encoder_note": "init_encoder_from (path relative to this experiment folder) copies the ground-motion encoder (model.temporal) from a checkpoint; freeze_encoder keeps it fixed (no gradient, eval mode, sha256 checked before and after training). Stage 2 (per-type decoders): every type shares the frozen exp15 encoder; condition encoder, both xattn decoders and DS head are trained from scratch on that type only.", + "resid_window_note": "residual displacement of a floor = mean relative displacement over the last resid_window_s seconds of the record (same definition as exp15_strata).", + "device": "cuda:0", + "allowed_gpus": [ + "H200" + ], + "data_root": "~/seismic-exp7/experiment/exp/dataset-exp-1/runs/data/mdof_knet_v1", + "data_version": "dataset-exp-1 configs/knet_v1.json (mdof_knet_v1)", + "seeds": [ + 20261105, + 20261106, + 20261107 + ], + "intensity_vocabulary": [ + 0, + 6, + 7, + 8, + 9 + ], + "structure_type_index": { + "RCF": 0, + "RCW": 1, + "URM": 2, + "RM": 3 + }, + "structure_features": [ + { + "name": "stories", + "transform": "linear", + "scale": 10 + }, + { + "name": "T1_s", + "transform": "linear", + "scale": 1 + } + ], + "model_preset": "base", + "variant_notes": { + "rm_base": "Control: exactly the exp15 xattn_roof_ds model and loss, trained on RM only.", + "rm_resid": "rm_base + 1.0 x residual displacement term: every floor's residual displacement (mean of the last 2 s), signed, error divided by the case's true peak displacement, Huber delta 0.1.", + "rm_ridr": "rm_base + 1.0 x maximum residual inter-story drift ratio term: max over stories of |residual drift|, error divided by the case's true peak inter-story drift ratio, Huber delta 0.1.", + "dec_RCF": "Stage 2 (user 2026-11-08: one shared encoder, different decoders): frozen exp15 xattn_roof_ds ground-motion encoder; condition encoder, xattn displacement/acceleration decoders and DS head trained from scratch on RCF only with the rm_resid loss (best of stage 1 on test MSE).", + "dec_RCW": "As dec_RCF, RCW only.", + "dec_URM": "As dec_RCF, URM only.", + "dec_RM": "As dec_RCF, RM only; compared with rm_resid it isolates the effect of the shared frozen encoder.", + "ft_RCF": "Stage 3 (user 2026-11-08: fine-tune from the decoders trained on all four types): every weight starts from exp15 xattn_roof_ds, the ground-motion encoder stays frozen; condition encoder, both xattn decoders and DS head are fine-tuned on RCF only with the rm_resid loss (derivative terms at full weight from update 1, as at the end of exp15), lr 1e-4 peak, 200 warmup updates, cosine to 1e-6, about 15 passes clipped to [3000, 20000] updates; update 0 (= exp15) competes in checkpoint selection. Same loss as dec_RCF, so stage 3 vs stage 2 isolates the initialization.", + "ft_RCW": "As ft_RCF, RCW only.", + "ft_URM": "As ft_RCF, URM only.", + "ft_RM": "As ft_RCF, RM only." + }, + "resid_weight_note": "Weight 1.0 (PFA and roof terms use 0.1). Measured on exp15 predictions for 1,024 RM training cases (unweighted): response loss 0.534, residual displacement term 0.031, residual drift term 0.038; at 0.1 each would be under 1% of the loss, at 1.0 about 6-7%. Single choice, not tuned.", + "reference": { + "exp15_mixed": "../exp15-xattn-roofdisp/runs/exp15/xattn_roof_ds/seed20261105/best.pt" + }, + "reference_note": "exp15 (trained on all four types) evaluated with exp16 codes/run.py --reference on the same RM-only splits: the mixed-training baseline.", + "roof_disp_note": "Training only (like PFA): roof_disp_weight x mean over cases of Huber_delta(e)/delta, e = (max_t|u_roof pred| - max_t|u_roof true|)/max(max_t|u_roof true|, roof_disp_floor); roof_disp_floor = training 5th percentile of the roof peak displacement (fitted by run.py).", + "ds_head_inputs_note": "'tokens' = exp14 (pooled encoder tokens with condition FiLM + condition); 'tokens+response' adds the mean and max over floors and time of the xattn displacement decoder's last hidden state (LayerNorm) and an MLP of 8 drift features of the predicted displacement (log10 peak drift / DS1-4 limits, log10 peak drift, mean log10 floor peak drift, log10 roof drift ratio, height fraction of the peak floor). Both are detached: the cross-entropy does not change the response decoders. Story heights and DS limits are declared building data.", + "velocity_weight": 0.1, + "curvature_weight": 0.002, + "derivative_ramp": null, + "derivative_ramp_note": "null = derivative terms at full weight from update 1; [a, b] = off until update a, linear to full weight at b", + "derivative_loss_note": "exp14 F5 (training only): + velocity_weight x per-case normalized MSE of the displacement's first difference x fs + curvature_weight x the same for the second difference x fs^2 (target = the true displacement's second difference = relative acceleration). Selection objective unchanged (three response terms + 0.1 CE).", + "train_ds_max": null, + "train_ds_max_note": "null = all training cases; an integer keeps only training cases with true DS <= value (validation unchanged)", + "loss_floor_fraction": 0.0001, + "loss_floor_fraction_note": "per-case loss denominator = max(mean truth^2, (loss_floor_fraction x global scale)^2); exp14 F1 uses 1e-4", + "ds_weight": 0.1, + "ds_weight_source": "user choice 2026-11-05 (whole-building DS0-4, cross-entropy x 0.1)", + "pfa_weight_source": "exp12 frozen 0.1 (as exp13, exp14)", + "recipe_source": "exp13 frozen recipe lr 1e-3 / warmup 1000", + "steps": 3000, + "steps_rule": "about steps_passes (30) passes over the training cases, clipped to steps_clip ([12000, 80000]) updates (exp7/exp13 rule); stage 3 fine-tuning uses 15 passes clipped to [3000, 20000]", + "steps_passes": 15, + "steps_clip": [ + 3000, + 20000 + ], + "batch_size": 32, + "batch_sampling": "mixed", + "learning_rate": 0.0001, + 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