modified: checkpoints/forward/best_tcn_model.pt modified: checkpoints/forward/training_history.csv new file: checkpoints_mlp/task1_feature_mlp/best_feature_mlp.pt new file: checkpoints_mlp/task1_feature_mlp/training_history.csv new file: checkpoints_rms/forward_rms/best_rms_model.pt new file: checkpoints_rms/forward_rms/training_history.csv modified: evaluation_outputs/forward/evaluation_forward_test_b0_s0.png new file: evaluation_outputs/forward/evaluation_forward_val_b0_s0.png new file: evaluation_outputs/forward/evaluation_forward_val_b3_s0.png new file: evaluation_outputs/forward_rms/evaluation_test_all_samples.csv new file: evaluation_outputs/forward_rms/evaluation_test_s0.png new file: evaluation_outputs/forward_rms/evaluation_train_all_samples.csv new file: evaluation_outputs/forward_rms/evaluation_val_all_samples.csv new file: evaluation_outputs/forward_rms/evaluation_val_s0.png new file: evaluation_outputs/forward_rms/evaluation_val_s0_waveform.png new file: evaluation_outputs/task1_feature_mlp/evaluation_train_all_samples.csv new file: evaluation_outputs/task1_feature_mlp/evaluation_train_curve.png new file: evaluation_outputs/task1_feature_mlp/evaluation_val_all_samples.csv new file: evaluation_outputs/task1_feature_mlp/evaluation_val_curve.png new file: evaluation_outputs/task1_feature_mlp/evaluation_val_s0.png new file: evaluation_outputs/task1_feature_mlp/harmonic_5mm_0.75Hz_prediction.png new file: evaluation_outputs/task1_feature_mlp/harmonic_5mm_1.55Hz_prediction.png new file: scripts/__pycache__/config.cpython-310.pyc new file: scripts/__pycache__/dataset.cpython-310.pyc new file: scripts/__pycache__/model.cpython-310.pyc new file: scripts/config.py new file: scripts/dataset.py new file: scripts/evaluate.py new file: scripts/model.py new file: scripts/predict_single.py new file: scripts/train.py modified: src/__pycache__/config.cpython-310.pyc modified: src/__pycache__/dataset.cpython-310.pyc modified: src/__pycache__/model.cpython-310.pyc modified: src/config.py modified: src/dataset.py modified: src/model.py new file: src_new/__pycache__/config.cpython-310.pyc new file: src_new/__pycache__/dataset.cpython-310.pyc new file: src_new/__pycache__/evaluate.cpython-310.pyc new file: src_new/__pycache__/model.cpython-310.pyc new file: src_new/__pycache__/train.cpython-310.pyc new file: src_new/config.py new file: src_new/dataset.py new file: src_new/evaluate.py new file: src_new/model.py new file: src_new/train.py
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| 1 | epoch | lr | train_loss | train_relative_loss | train_log_rms_huber_loss | train_mae_loss | train_rms_error | val_loss | val_relative_loss | val_log_rms_huber_loss | val_mae_loss | val_rms_error |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2 | 1 | 0.001 | 1.0684084097544353 | 0.6919674078623453 | 0.19923226369751823 | 1.5134448210398357 | 0.6919673813713921 | 0.3821044862270355 | 0.2511320114135742 | 0.033154696226119995 | 0.7073763012886047 | 0.2511320412158966 |
| 3 | 2 | 0.001 | 1.0431654651959736 | 0.6733311547173394 | 0.19394073883692423 | 1.49585849708981 | 0.673331167962816 | 0.3861435353755951 | 0.2520703375339508 | 0.0340907983481884 | 0.7233673334121704 | 0.2520703673362732 |
| 4 | 3 | 0.001 | 1.0058492289649115 | 0.6443076067500644 | 0.18731229503949484 | 1.473716417948405 | 0.6443075670136346 | 0.39013171195983887 | 0.252702534198761 | 0.03538244962692261 | 0.7392822504043579 | 0.2527025640010834 |
| 5 | 4 | 0.001 | 0.9792734649446275 | 0.6221125589476691 | 0.18307040548986858 | 1.4657206005520291 | 0.6221125887499915 | 0.394980788230896 | 0.253364622592926 | 0.037405483424663544 | 0.7570802569389343 | 0.253364622592926 |
| 6 | 5 | 0.001 | 0.939600666364034 | 0.5912809504403008 | 0.17598583300908408 | 1.4422023958630033 | 0.5912809636857774 | 0.3971262574195862 | 0.2521932125091553 | 0.03932402655482292 | 0.7696000933647156 | 0.2521932125091553 |
| 7 | 6 | 0.001 | 0.9127781920962863 | 0.5688717034127977 | 0.17321109771728516 | 1.4266544183095295 | 0.5688716835445828 | 0.3954552412033081 | 0.24867530167102814 | 0.040780965238809586 | 0.7746281623840332 | 0.24867533147335052 |
| 8 | 7 | 0.001 | 0.8162693844901191 | 0.4975863430235121 | 0.15291899773809645 | 1.3599585427178278 | 0.4975863430235121 | 0.39774268865585327 | 0.24631300568580627 | 0.044477906078100204 | 0.7871417999267578 | 0.24631300568580627 |
| 9 | 8 | 0.001 | 0.8098740312788222 | 0.48419485489527386 | 0.16087035338083902 | 1.3668427334891424 | 0.4841948416497972 | 0.40212470293045044 | 0.24344877898693085 | 0.05097588896751404 | 0.8029600381851196 | 0.24344877898693085 |
| 10 | 9 | 0.001 | 0.7296120656861199 | 0.4106071988741557 | 0.16139008270369637 | 1.3197486003239949 | 0.4106071756945716 | 0.43612974882125854 | 0.2614344656467438 | 0.060854148119688034 | 0.8603642582893372 | 0.2614344358444214 |
| 11 | 10 | 0.001 | 0.7408013741175333 | 0.38955933849016827 | 0.2076671322186788 | 1.3032778369055853 | 0.3895593351787991 | 0.4869456887245178 | 0.29191675782203674 | 0.07229459285736084 | 0.9387197494506836 | 0.29191672801971436 |
| 12 | 11 | 0.001 | 0.7496903538703918 | 0.3897787862353855 | 0.21981331043773228 | 1.3003438181347318 | 0.3897787994808621 | 0.5376651287078857 | 0.32053330540657043 | 0.0865083634853363 | 1.0150035619735718 | 0.32053327560424805 |
| 13 | 12 | 0.001 | 0.9797695477803549 | 0.38233999411265057 | 0.5365811387697855 | 1.29995772573683 | 0.3823399974240197 | 0.5587358474731445 | 0.3330889940261841 | 0.09165894240140915 | 1.0460175275802612 | 0.3330889642238617 |
| 14 | 13 | 0.001 | 0.7886577645937601 | 0.39104337162441677 | 0.27514297929075027 | 1.2750475406646729 | 0.39104337493578595 | 0.5636787414550781 | 0.3352062702178955 | 0.09356075525283813 | 1.055345892906189 | 0.3352062702178955 |
| 15 | 14 | 0.001 | 0.6367178559303284 | 0.34643163283665973 | 0.1475350492530399 | 1.1975661383734808 | 0.3464316460821364 | 0.5635904669761658 | 0.3346971571445465 | 0.09383875876665115 | 1.0567615032196045 | 0.3346971571445465 |
| 16 | 15 | 0.001 | 0.6623357137044271 | 0.36682088838683236 | 0.15060860332515505 | 1.2170556386311848 | 0.3668208916982015 | 0.5532020926475525 | 0.32986027002334595 | 0.08957388252019882 | 1.0410760641098022 | 0.32986021041870117 |
| 17 | 16 | 0.001 | 0.6297085682551066 | 0.36428216265307534 | 0.12578680531846154 | 1.140575302971734 | 0.36428215106328327 | 0.5544819235801697 | 0.33266526460647583 | 0.08754842728376389 | 1.041035532951355 | 0.33266523480415344 |
| 18 | 17 | 0.001 | 0.6100040011935763 | 0.36249567733870613 | 0.10765769663784239 | 1.111767013867696 | 0.36249566078186035 | 0.5716693997383118 | 0.34491467475891113 | 0.08935325592756271 | 1.0649319887161255 | 0.34491464495658875 |
| 19 | 18 | 0.001 | 0.5903598533736335 | 0.3496483862400055 | 0.10458873874611324 | 1.0817992157406278 | 0.34964838955137467 | 0.601777195930481 | 0.3637298047542572 | 0.0955144539475441 | 1.109410285949707 | 0.3637298047542572 |
| 20 | 19 | 0.001 | 0.5701847804917229 | 0.3414529164632161 | 0.09985838168197209 | 1.0255872938368056 | 0.3414529164632161 | 0.629698634147644 | 0.3823082447052002 | 0.10031794756650925 | 1.1476796865463257 | 0.3823082447052002 |
| 21 | 20 | 0.001 | 0.5357944567998251 | 0.3132438593440586 | 0.09814917544523875 | 0.9929247697194418 | 0.3132438593440586 | 0.6656612157821655 | 0.4028518795967102 | 0.11059614270925522 | 1.199081540107727 | 0.4028518795967102 |
| 22 | 21 | 0.001 | 0.5140700340270996 | 0.29829433891508317 | 0.1006597230831782 | 0.9352060423956977 | 0.2982943256696065 | 0.6950218081474304 | 0.4190041720867157 | 0.11983328312635422 | 1.2409510612487793 | 0.4190041720867157 |
| 23 | 22 | 0.001 | 0.5517757270071242 | 0.31282461020681596 | 0.12161111583312352 | 0.9849517875247531 | 0.31282461020681596 | 0.6951501965522766 | 0.42067644000053406 | 0.11815791577100754 | 1.2390354871749878 | 0.4206763803958893 |
| 24 | 23 | 0.001 | 0.5385147333145142 | 0.3098441825972663 | 0.12465377317534553 | 0.9012014071146647 | 0.3098441743188434 | 0.6760208606719971 | 0.41229119896888733 | 0.10967614501714706 | 1.209816813468933 | 0.41229113936424255 |
| 25 | 24 | 0.001 | 0.4948686576551861 | 0.2839176009098689 | 0.10664872804449664 | 0.873096740908093 | 0.283917604221238 | 0.6479407548904419 | 0.3981650471687317 | 0.0997471809387207 | 1.1664352416992188 | 0.3981650173664093 |
| 26 | 25 | 0.001 | 0.4815748400158352 | 0.2894285586145189 | 0.08536433428525925 | 0.8541535006629096 | 0.2894285437133577 | 0.628013014793396 | 0.3875465989112854 | 0.09387131035327911 | 1.133752703666687 | 0.3875465989112854 |
| 27 | 26 | 0.001 | 0.4902527266078525 | 0.3052508632342021 | 0.08093913561768001 | 0.8286499811543359 | 0.3052508615785175 | 0.6259267330169678 | 0.3861921727657318 | 0.09331636875867844 | 1.1316486597061157 | 0.3861921429634094 |
| 28 | 27 | 0.001 | 0.4992575960026847 | 0.3134735193517473 | 0.0804886631667614 | 0.8361171748903062 | 0.31347350279490155 | 0.6494007110595703 | 0.399603933095932 | 0.09916889667510986 | 1.1694673299789429 | 0.3996039032936096 |
| 29 | 28 | 0.001 | 0.45642075273725724 | 0.2935712155368593 | 0.07241135980519983 | 0.7236066361268362 | 0.29357120229138267 | 0.6795501708984375 | 0.4163399338722229 | 0.10745861381292343 | 1.2174421548843384 | 0.4163399338722229 |
| 30 | 29 | 0.0005 | 0.4504433075586955 | 0.27966498997476363 | 0.08081474165535635 | 0.7344483600722419 | 0.2796649800406562 | 0.712536096572876 | 0.4332484304904938 | 0.11834639310836792 | 1.2701857089996338 | 0.4332483410835266 |
| 31 | 30 | 0.0005 | 0.4445747633775075 | 0.2770162257883284 | 0.0779732180138429 | 0.7271908124287924 | 0.27701622247695923 | 0.7285711765289307 | 0.44202420115470886 | 0.12342425435781479 | 1.293191909790039 | 0.44202420115470886 |
| 32 | 31 | 0.0005 | 0.47021543317370945 | 0.29266008569134605 | 0.08219371032383707 | 0.7727337082227071 | 0.29266009893682265 | 0.7398308515548706 | 0.4480714797973633 | 0.12714092433452606 | 1.3093578815460205 | 0.4480714499950409 |
| 33 | 32 | 0.0005 | 0.4485766556527879 | 0.27516163720024955 | 0.07896825671195984 | 0.7612588869200813 | 0.27516160408655804 | 0.7477874755859375 | 0.45214587450027466 | 0.1301499605178833 | 1.3201942443847656 | 0.45214587450027466 |
| 34 | 33 | 0.0005 | 0.4806170066197713 | 0.29431821240319145 | 0.0897826933198505 | 0.7930783894326952 | 0.29431822564866805 | 0.7456773519515991 | 0.45039525628089905 | 0.13018397986888885 | 1.3176275491714478 | 0.4503951966762543 |
| 35 | 34 | 0.0005 | 0.4639296531677246 | 0.27904501888487077 | 0.09117302215761608 | 0.7766991588804457 | 0.2790450221962399 | 0.7344075441360474 | 0.4435312747955322 | 0.12712228298187256 | 1.3035639524459839 | 0.44353124499320984 |
| 36 | 35 | 0.0005 | 0.4217291673024495 | 0.25814421640502083 | 0.07712550130155352 | 0.704938703113132 | 0.2581442031595442 | 0.728592038154602 | 0.43990880250930786 | 0.12561193108558655 | 1.2964953184127808 | 0.4399087429046631 |
| 37 | 36 | 0.0005 | 0.4452095528443654 | 0.2780698604053921 | 0.07377014433344205 | 0.7454138000806173 | 0.2780698537826538 | 0.719640851020813 | 0.4346870481967926 | 0.12287390232086182 | 1.285322666168213 | 0.4346870481967926 |
| 38 | 37 | 0.0005 | 0.4346568849351671 | 0.27202920781241524 | 0.0730870481994417 | 0.7187491787804497 | 0.27202921443515354 | 0.7090620994567871 | 0.42957648634910583 | 0.11880777031183243 | 1.2691987752914429 | 0.42957648634910583 |
| 39 | 38 | 0.0005 | 0.45190709829330444 | 0.2777327348788579 | 0.07873265279663934 | 0.7674991223547194 | 0.2777327398459117 | 0.7021456360816956 | 0.42580172419548035 | 0.11658556759357452 | 1.2593647241592407 | 0.42580166459083557 |
| 40 | 39 | 0.0005 | 0.41501253181033665 | 0.25652576155132717 | 0.06958397726217906 | 0.7086585627661811 | 0.2565257747968038 | 0.6967095136642456 | 0.4226696193218231 | 0.11500495672225952 | 1.2519077062606812 | 0.42266955971717834 |
| 41 | 40 | 0.0005 | 0.426217923561732 | 0.2659038090043598 | 0.06590471830632952 | 0.739237109820048 | 0.26590381893846726 | 0.6904255747795105 | 0.4193277060985565 | 0.11303865909576416 | 1.2421258687973022 | 0.41932764649391174 |
| 42 | 41 | 0.0005 | 0.474410249127282 | 0.302842206425137 | 0.07200946576065487 | 0.7837395668029785 | 0.302842206425137 | 0.6886562705039978 | 0.41840869188308716 | 0.11255472153425217 | 1.2388770580291748 | 0.41840869188308716 |
| 43 | 42 | 0.0005 | 0.4341147674454583 | 0.2751454992426766 | 0.06902315095067024 | 0.7146794034375085 | 0.2751455108324687 | 0.6964045763015747 | 0.42251697182655334 | 0.11516380310058594 | 1.2500985860824585 | 0.42251691222190857 |
| 44 | 43 | 0.0005 | 0.40912215577231514 | 0.2595863143603007 | 0.058075524038738675 | 0.7065279748704698 | 0.2595863276057773 | 0.709182620048523 | 0.430009663105011 | 0.11880651861429214 | 1.2671202421188354 | 0.430009663105011 |
| 45 | 44 | 0.0005 | 0.44166630175378585 | 0.27680986291832393 | 0.07062854783402549 | 0.7459001806047227 | 0.2768098645740085 | 0.7103798389434814 | 0.4306167662143707 | 0.11920434236526489 | 1.2690653800964355 | 0.4306167662143707 |
| 46 | 45 | 0.0005 | 0.4364900390307109 | 0.2806501239538193 | 0.06813105609681872 | 0.6982774602042304 | 0.28065012726518845 | 0.713029146194458 | 0.43142566084861755 | 0.12053372710943222 | 1.274687647819519 | 0.43142572045326233 |
| 47 | 46 | 0.0005 | 0.42031361990504795 | 0.2599939935737186 | 0.0675199499560727 | 0.7311977677875094 | 0.2599939935737186 | 0.7204116582870483 | 0.43440350890159607 | 0.12379532307386398 | 1.287744164466858 | 0.43440350890159607 |
| 48 | 47 | 0.0005 | 0.41649588611390853 | 0.2588261928823259 | 0.06496965015927951 | 0.7262829906410642 | 0.2588262077834871 | 0.7308988571166992 | 0.43982744216918945 | 0.12745337188243866 | 1.3032091856002808 | 0.43982744216918945 |
| 49 | 48 | 0.0005 | 0.45140007469389176 | 0.2842165165477329 | 0.07611107577880223 | 0.734001550409529 | 0.2842165331045787 | 0.738196074962616 | 0.4431730806827545 | 0.13040359318256378 | 1.314801573753357 | 0.44317302107810974 |
| 50 | 49 | 0.0005 | 0.4124910682439804 | 0.25314582718743217 | 0.068223740077681 | 0.7211828695403205 | 0.25314583049880135 | 0.7486779689788818 | 0.4491503834724426 | 0.1336752474308014 | 1.3284742832183838 | 0.4491503834724426 |
| 51 | 50 | 0.00025 | 0.41983669333987766 | 0.2572576337390476 | 0.07067853129572338 | 0.7304676373799642 | 0.25725764367315507 | 0.7499342560768127 | 0.4504518508911133 | 0.1333393007516861 | 1.32985258102417 | 0.4504518508911133 |
| 52 | 51 | 0.00025 | 0.39338985085487366 | 0.24541797240575156 | 0.061128986792431936 | 0.6808343132336935 | 0.2454179906182819 | 0.7484983205795288 | 0.4500373899936676 | 0.1325150579214096 | 1.3271640539169312 | 0.4500373899936676 |
| 53 | 52 | 0.00025 | 0.4347236222691006 | 0.26843487554126316 | 0.07120031118392944 | 0.7525900999704996 | 0.2684348738855786 | 0.7462888956069946 | 0.44955143332481384 | 0.1310974657535553 | 1.3227624893188477 | 0.44955143332481384 |
| 54 | 53 | 0.00025 | 0.39689934915966457 | 0.24233278632164001 | 0.06171891983184549 | 0.721849156750573 | 0.24233278466595543 | 0.7399852871894836 | 0.44651278853416443 | 0.1285889446735382 | 1.3135385513305664 | 0.44651278853416443 |
| 55 | 54 | 0.00025 | 0.37512414654095966 | 0.23281626568900216 | 0.05609904395209418 | 0.6682239903344048 | 0.23281625906626383 | 0.7348796129226685 | 0.44354644417762756 | 0.12702621519565582 | 1.307090163230896 | 0.44354644417762756 |
| 56 | 55 | 0.00025 | 0.42326178153355914 | 0.271195156706704 | 0.06771800035817756 | 0.6751875513129764 | 0.2711951591902309 | 0.731861412525177 | 0.4418794810771942 | 0.1260313242673874 | 1.3030563592910767 | 0.4418794810771942 |
| 57 | 56 | 0.00025 | 0.40027793248494464 | 0.2503356287876765 | 0.0625538213385476 | 0.6868461138672299 | 0.25033563044336105 | 0.7314411997795105 | 0.44189128279685974 | 0.12566323578357697 | 1.3020164966583252 | 0.44189128279685974 |
| 58 | 57 | 0.00025 | 0.41923924618297154 | 0.2631028691927592 | 0.06492394229604138 | 0.7162894474135505 | 0.2631028923723433 | 0.7334963083267212 | 0.4432640075683594 | 0.12621350586414337 | 1.30381441116333 | 0.443263977766037 |
| 59 | 58 | 0.00025 | 0.4435661964946323 | 0.2827550404601627 | 0.06622585654258728 | 0.7409449021021525 | 0.2827550503942702 | 0.7361425757408142 | 0.44472166895866394 | 0.12714305520057678 | 1.3070908784866333 | 0.44472166895866394 |