[f123c6]: / reports / vae / files / 20231122_142449_losses.csv

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# total reconstruction kl mse_proteomics mse_metabolomics mse_drugresponse mse_crisprcas9 mse_methylation mse_transcriptomics mse_copynumber cv epoch type lr
1 8.435553550720215 8.43235969543457 0.003194145392626524 1.0865076780319214 1.0950084924697876 1.0535495281219482 1.0165399312973022 1.0391889810562134 1.0819860696792603 2.0595791339874268 1 1 train 0.0003
2 8.517088890075684 8.51404857635498 0.003039859700948 1.0466139316558838 1.0458015203475952 1.1039330959320068 1.150269627571106 1.1310267448425293 1.0753251314163208 1.9610790014266968 1 1 train 0.0003
3 8.271710395812988 8.268916130065918 0.0027943626046180725 1.0536247491836548 1.0505578517913818 1.018385887145996 1.0592447519302368 1.0544065237045288 1.0346781015396118 1.9980180263519287 1 1 train 0.0003
4 7.74940299987793 7.739193916320801 0.010208990424871445 1.0126045942306519 1.0153497457504272 0.9921374320983887 1.0851664543151855 1.003685474395752 1.0050642490386963 1.6251859664916992 1 1 val 0.0003
5 8.048639297485352 8.039690971374512 0.008948550559580326 1.073526382446289 1.0607178211212158 1.074464201927185 1.078842282295227 1.0555243492126465 1.053483247756958 1.643133521080017 1 2 train 0.0003
6 7.588318824768066 7.579320430755615 0.00899841170758009 1.054634690284729 0.9872499704360962 1.0971615314483643 1.0099226236343384 0.8818231821060181 0.9730915427207947 1.5754371881484985 1 2 train 0.0003
7 7.423874855041504 7.415628433227539 0.00824647955596447 0.9691094756126404 0.9932175874710083 0.9850614666938782 1.0910553932189941 0.8608859181404114 0.917102575302124 1.5991963148117065 1 2 train 0.0003
8 7.118964195251465 7.111999034881592 0.006965365260839462 0.9163346886634827 0.9806972146034241 0.9518642425537109 1.0403656959533691 0.7418980598449707 0.8528679609298706 1.6279710531234741 1 2 val 0.0003
9 7.1092939376831055 7.102505207061768 0.00678874971345067 0.973342776298523 0.9470394849777222 0.9997258186340332 1.024361491203308 0.7625299096107483 0.8710803389549255 1.5244255065917969 1 3 train 0.0003
10 7.047056198120117 7.039204120635986 0.007852073758840561 0.9106325507164001 1.0258383750915527 1.0205986499786377 1.0128850936889648 0.7380639910697937 0.8512306809425354 1.4799546003341675 1 3 train 0.0003
11 6.948431491851807 6.937281608581543 0.01114995963871479 0.9123749136924744 1.0302237272262573 1.0426175594329834 1.024609923362732 0.7388439178466797 0.8595038652420044 1.3291075229644775 1 3 train 0.0003
12 6.739192962646484 6.730700492858887 0.008492546156048775 0.8567357063293457 0.9740025997161865 0.9314036965370178 1.0294369459152222 0.7098288536071777 0.8265718817710876 1.4027211666107178 1 3 val 0.0003
13 7.405574798583984 7.401198387145996 0.004376231227070093 0.9021680355072021 0.9941462278366089 1.0258268117904663 1.0527132749557495 0.7345616817474365 0.9938704967498779 1.697911262512207 1 4 train 0.0003
14 7.1026716232299805 7.095699310302734 0.0069724484346807 0.9757333397865295 0.9994969367980957 1.0002249479293823 1.0157145261764526 0.8860292434692383 0.8685289025306702 1.349971055984497 1 4 train 0.0003
15 6.967753887176514 6.952786445617676 0.014967449940741062 0.9658937454223633 0.9964638352394104 0.9548763036727905 0.9868806600570679 0.8985872864723206 0.9509291052818298 1.1991552114486694 1 4 train 0.0003
16 6.500495910644531 6.490080833435059 0.010414926335215569 0.8239135146141052 0.9687831401824951 0.908075213432312 1.0230622291564941 0.6995224952697754 0.7998385429382324 1.2668856382369995 1 4 val 0.0003
17 7.022432804107666 7.017590522766113 0.004842134192585945 0.8379305005073547 1.106848955154419 0.945500910282135 0.9832245111465454 0.7101003527641296 0.9415239095687866 1.4924615621566772 1 5 train 0.0003
18 6.83291482925415 6.822348117828369 0.010566571727395058 0.8370205760002136 0.9788134694099426 0.9902439713478088 1.0417672395706177 1.0129164457321167 0.8216023445129395 1.139984130859375 1 5 train 0.0003
19 7.739406585693359 7.737560749053955 0.0018456688849255443 1.0240797996520996 0.990300714969635 1.005056381225586 0.9811598062515259 1.0518383979797363 1.02666175365448 1.6584640741348267 1 5 train 0.0003
20 6.637335777282715 6.629953384399414 0.007382484152913094 0.8398375511169434 0.9845353364944458 0.9073123335838318 1.0221492052078247 0.7352842092514038 0.8661631345748901 1.2746713161468506 1 5 val 0.0003
21 6.673446178436279 6.667983055114746 0.005463006440550089 0.8481601476669312 0.9801487326622009 0.9033514857292175 0.945601761341095 0.9277658462524414 0.8747162818908691 1.1882386207580566 1 6 train 0.0003
22 6.716001987457275 6.710411548614502 0.005590245593339205 0.8338751196861267 1.037469744682312 1.0139275789260864 0.9307589530944824 0.9270287752151489 0.8353392481803894 1.1320123672485352 1 6 train 0.0003
23 6.423679351806641 6.415519714355469 0.00815968494862318 0.8242000341415405 0.9482767581939697 0.9037908315658569 1.0175703763961792 0.8403646945953369 0.8169450759887695 1.0643723011016846 1 6 train 0.0003
24 6.315770149230957 6.304264545440674 0.011505591683089733 0.7939538359642029 0.954613208770752 0.83823162317276 1.006250023841858 0.7169429063796997 0.8125993609428406 1.1816738843917847 1 6 val 0.0003
25 6.176545143127441 6.16433048248291 0.01221479568630457 0.8053103089332581 0.9745831489562988 0.8906469941139221 0.9203980565071106 0.727044403553009 0.8039824962615967 1.0423649549484253 1 7 train 0.0003
26 6.215785026550293 6.203892230987549 0.011892670765519142 0.8016549348831177 0.9530147314071655 0.9202821254730225 0.9655674695968628 0.6844543814659119 0.7926352024078369 1.0862833261489868 1 7 train 0.0003
27 7.727352142333984 7.725273132324219 0.00207894342020154 1.019465446472168 1.0446140766143799 0.9552971720695496 1.0556223392486572 1.054780125617981 1.0712239742279053 1.5242698192596436 1 7 train 0.0003
28 6.255676746368408 6.247183799743652 0.008492957800626755 0.7662039399147034 0.9448264837265015 0.8089428544044495 0.9891905784606934 0.7581363320350647 0.7909054756164551 1.1889779567718506 1 7 val 0.0003
29 6.539565563201904 6.534595489501953 0.004970132373273373 0.99105304479599 0.936112105846405 0.9642514586448669 0.9046887755393982 0.9054070711135864 0.763265073299408 1.0698180198669434 1 8 train 0.0003
30 5.954578876495361 5.9459028244018555 0.008676243014633656 0.7443855404853821 0.9476421475410461 0.881862998008728 0.8802967667579651 0.7530719041824341 0.7799663543701172 0.9586771130561829 1 8 train 0.0003
31 6.3980889320373535 6.392236709594727 0.0058523425832390785 0.7511442303657532 1.0181019306182861 0.9058082103729248 1.029625415802002 0.8712761998176575 0.763925313949585 1.0523555278778076 1 8 train 0.0003
32 6.102634906768799 6.091427803039551 0.01120707020163536 0.7597025036811829 0.9278774857521057 0.8024954199790955 0.9833786487579346 0.7300875186920166 0.7549570202827454 1.1329289674758911 1 8 val 0.0003
33 6.0390448570251465 6.031510829925537 0.007533852942287922 0.8904337882995605 0.9617254137992859 0.8492518663406372 0.8555837273597717 0.6769261956214905 0.6953203678131104 1.1022697687149048 1 9 train 0.0003
34 5.967655181884766 5.956728935241699 0.010926301591098309 0.7569164037704468 0.9324730634689331 0.8902339935302734 1.0046205520629883 0.6780297160148621 0.7348769307136536 0.9595780372619629 1 9 train 0.0003
35 5.763250350952148 5.750911712646484 0.012338504195213318 0.7191670536994934 0.9126161336898804 0.8271673321723938 0.9082556366920471 0.6755478978157043 0.713388204574585 0.9947692155838013 1 9 train 0.0003
36 5.96619176864624 5.953097343444824 0.013094242662191391 0.7347635626792908 0.9271665215492249 0.7540848255157471 0.9699974060058594 0.6599529981613159 0.7318634986877441 1.1752684116363525 1 9 val 0.0003
37 6.170351982116699 6.165531158447266 0.0048209731467068195 0.7457888722419739 0.9565936326980591 0.7751272320747375 0.8841091990470886 0.8653867840766907 0.9240161776542664 1.0145094394683838 1 10 train 0.0003
38 5.973673343658447 5.9593963623046875 0.014276867732405663 0.7249310612678528 0.9724786281585693 0.7798244953155518 0.9701189994812012 0.6482272148132324 0.7424852848052979 1.1213314533233643 1 10 train 0.0003
39 5.606040954589844 5.595691680908203 0.010349131189286709 0.7155616879463196 0.9550349712371826 0.7724341750144958 0.87813800573349 0.6133013963699341 0.7055546045303345 0.9556671977043152 1 10 train 0.0003
40 5.767463684082031 5.7581353187561035 0.009328151121735573 0.718035876750946 0.9328108429908752 0.7231219410896301 0.9521781802177429 0.6224360466003418 0.7205986380577087 1.088953971862793 1 10 val 0.0003
41 6.287840843200684 6.284298896789551 0.0035420062486082315 0.8863530158996582 0.9888338446617126 0.808819055557251 0.8783764839172363 0.693277895450592 0.9053249955177307 1.123313546180725 1 11 train 0.0003
42 5.896599769592285 5.891188621520996 0.005411218851804733 0.7186145186424255 0.9506278038024902 0.8547006249427795 0.8902360796928406 0.7126691341400146 0.7167499661445618 1.0475902557373047 1 11 train 0.0003
43 6.0886406898498535 6.084102630615234 0.004538085777312517 0.7341017723083496 0.93882155418396 0.7664318680763245 0.8836371898651123 0.8200908303260803 0.9125810265541077 1.0284385681152344 1 11 train 0.0003
44 6.041198253631592 6.0269012451171875 0.014297057874500751 0.7648494243621826 0.9272437691688538 0.7633779048919678 0.9647191762924194 0.7301219701766968 0.777677595615387 1.0989112854003906 1 11 val 0.0003
45 5.8416242599487305 5.826821327209473 0.014802983961999416 0.7529589533805847 0.9460928440093994 0.8288014531135559 0.8991313576698303 0.7232586145401001 0.7127326130867004 0.9638450741767883 1 12 train 0.0003
46 5.549246788024902 5.53901481628418 0.010231977328658104 0.7006617784500122 0.9404075145721436 0.8095749616622925 0.8587714433670044 0.5890864729881287 0.681621789932251 0.9588909149169922 1 12 train 0.0003
47 5.252625465393066 5.240873336791992 0.011751997284591198 0.6742834448814392 0.8846807479858398 0.7546156048774719 0.8268565535545349 0.5438858270645142 0.6728764772415161 0.8836745023727417 1 12 train 0.0003
48 5.690403461456299 5.6792731285095215 0.011130230501294136 0.7158358097076416 0.9072595834732056 0.699158787727356 0.9203606247901917 0.6640440225601196 0.7065345644950867 1.0660802125930786 1 12 val 0.0003
49 5.856713771820068 5.848819732666016 0.007893858477473259 0.8608846068382263 0.9181489944458008 0.9290426969528198 0.8097559213638306 0.6813380122184753 0.6905487775802612 0.9591008424758911 1 13 train 0.0003
50 5.430268287658691 5.421178340911865 0.00908998679369688 0.7072349190711975 0.8654687404632568 0.7188088893890381 0.7995587587356567 0.7782514095306396 0.6459705829620361 0.9058853983879089 1 13 train 0.0003
51 5.871200084686279 5.865943908691406 0.005256235599517822 0.7273283004760742 0.9304237365722656 0.7219707369804382 0.9151591658592224 0.7447113394737244 0.8429526686668396 0.9833977818489075 1 13 train 0.0003
52 5.8194804191589355 5.805027961730957 0.014452571980655193 0.7037882804870605 0.9035001993179321 0.7086291909217834 0.9230102896690369 0.666458785533905 0.7088284492492676 1.1908124685287476 1 13 val 0.0003
53 6.363596439361572 6.358407974243164 0.005188335198909044 0.9634124636650085 0.9039763808250427 0.9414373636245728 0.9426515102386475 0.8576000332832336 0.6658560633659363 1.083474040031433 1 14 train 0.0003
54 5.395987033843994 5.379498481750488 0.016488531604409218 0.6835394501686096 0.9122454524040222 0.7338828444480896 0.8109927773475647 0.6060134172439575 0.6670367121696472 0.9657877683639526 1 14 train 0.0003
55 5.603446006774902 5.595342636108398 0.008103163912892342 0.6458297967910767 0.9275612235069275 0.7214561104774475 0.8954184055328369 0.6543679237365723 0.8484392166137695 0.9022701382637024 1 14 train 0.0003
56 5.697957992553711 5.68308687210083 0.014870931394398212 0.7000920176506042 0.8988486528396606 0.7149221301078796 0.9199339151382446 0.6444312930107117 0.6895175576210022 1.1153411865234375 1 14 val 0.0003
57 6.404851913452148 6.402117729187012 0.00273431115783751 0.7118755578994751 0.9485692977905273 0.7678977251052856 0.9605501294136047 0.7928636074066162 0.9069083333015442 1.3134534358978271 1 15 train 0.0003
58 5.487196445465088 5.473763465881348 0.01343320868909359 0.7777431011199951 0.9188345074653625 0.7319100499153137 0.8339291214942932 0.5952086448669434 0.6243658065795898 0.9917727708816528 1 15 train 0.0003
59 5.384914875030518 5.374300956726074 0.010613774880766869 0.790932834148407 0.8507803678512573 0.8175044655799866 0.8452379107475281 0.5801551938056946 0.6351977586746216 0.8544924855232239 1 15 train 0.0003
60 5.674554347991943 5.65997838973999 0.014576195739209652 0.7199315428733826 0.8990210890769958 0.7123184204101562 0.9193620085716248 0.6636167168617249 0.6996909379959106 1.0460375547409058 1 15 val 0.0003
61 5.4171295166015625 5.408285617828369 0.008843794465065002 0.6496566534042358 0.880930483341217 0.7339224815368652 0.8807727098464966 0.7193605899810791 0.659054160118103 0.8845885396003723 1 16 train 0.0003
62 5.23748254776001 5.221889495849609 0.015593023039400578 0.7023772597312927 0.8835735321044922 0.7400699257850647 0.8186926245689392 0.630225419998169 0.6391605734825134 0.8077901601791382 1 16 train 0.0003
63 5.765627384185791 5.758954048156738 0.006673571653664112 0.6705445051193237 0.8712708950042725 0.827107846736908 0.8360394835472107 0.5472027659416199 0.8071004152297974 1.1996877193450928 1 16 train 0.0003
64 5.5355730056762695 5.523645877838135 0.011927254498004913 0.6844832897186279 0.8911260962486267 0.686470091342926 0.9068800806999207 0.6052457690238953 0.6803286671638489 1.0691118240356445 1 16 val 0.0003
65 5.054261684417725 5.041005611419678 0.01325624343007803 0.6267520785331726 0.8858246803283691 0.7234364748001099 0.7924791574478149 0.5225144624710083 0.6308093070983887 0.8591896295547485 1 17 train 0.0003
66 5.154584884643555 5.142319679260254 0.012265186756849289 0.6425735950469971 0.8500301837921143 0.719018816947937 0.7957620620727539 0.5480893850326538 0.642378568649292 0.9444664716720581 1 17 train 0.0003
67 4.902063369750977 4.8890180587768555 0.013045521453022957 0.6204147934913635 0.856942355632782 0.6673869490623474 0.80942302942276 0.5317046046257019 0.6240991353988647 0.7790471315383911 1 17 train 0.0003
68 5.443594932556152 5.432441234588623 0.011153669096529484 0.67083340883255 0.8798920512199402 0.6836358904838562 0.8974422812461853 0.596385657787323 0.676586389541626 1.0276657342910767 1 17 val 0.0003
69 5.318637371063232 5.310042858123779 0.00859456043690443 0.6594496369361877 0.8841605186462402 0.8604161143302917 0.7934723496437073 0.6854427456855774 0.6308351755142212 0.7962666749954224 1 18 train 0.0003
70 5.7339630126953125 5.727123737335205 0.006839248351752758 0.8504377007484436 0.8551093339920044 0.8970984220504761 0.8159434795379639 0.749117374420166 0.6432139873504639 0.9162030220031738 1 18 train 0.0003
71 5.465713024139404 5.45816707611084 0.007545820437371731 0.6333742141723633 0.8759260177612305 0.6871751546859741 0.864640474319458 0.5789055824279785 0.7956114411354065 1.022533893585205 1 18 train 0.0003
72 5.815659999847412 5.798312187194824 0.017347918823361397 0.6953396797180176 0.9491183757781982 0.761323094367981 0.9139138460159302 0.6186561584472656 0.7915765643119812 1.0683847665786743 1 18 val 0.0003
73 5.230776786804199 5.217620372772217 0.013156570494174957 0.6169711947441101 0.9105894565582275 0.7954369187355042 0.7695008516311646 0.6605307459831238 0.658894956111908 0.8056966066360474 1 19 train 0.0003
74 5.1207380294799805 5.106008529663086 0.01472945511341095 0.787402868270874 0.8434465527534485 0.7066310048103333 0.8044962882995605 0.5278470516204834 0.5909200310707092 0.8452650308609009 1 19 train 0.0003
75 5.063253879547119 5.04914665222168 0.01410734187811613 0.6200834512710571 0.8212459683418274 0.7281543612480164 0.9163578152656555 0.5330162644386292 0.6026872992515564 0.8276013135910034 1 19 train 0.0003
76 5.4954833984375 5.478784561157227 0.016698751598596573 0.6744480133056641 0.8769388198852539 0.7069715857505798 0.8959953188896179 0.5848875045776367 0.6720821261405945 1.0674612522125244 1 19 val 0.0003
77 5.755448818206787 5.749523639678955 0.005925098899751902 0.6728929877281189 0.8752874732017517 0.8309952616691589 0.8356351256370544 0.7469053268432617 0.8376184701919556 0.9501889944076538 1 20 train 0.0003
78 4.870625019073486 4.851698875427246 0.01892624795436859 0.5990728735923767 0.8211761116981506 0.6903655529022217 0.7788223028182983 0.502722442150116 0.6166465878486633 0.8428929448127747 1 20 train 0.0003
79 4.783650875091553 4.766972064971924 0.01667873188853264 0.5950139760971069 0.8185290098190308 0.6939682364463806 0.7902856469154358 0.5071917176246643 0.6076778769493103 0.7543058395385742 1 20 train 0.0003
80 5.429659366607666 5.417147159576416 0.012512321583926678 0.6615622639656067 0.8757864236831665 0.6916245818138123 0.8859430551528931 0.5935149788856506 0.6728597283363342 1.0358563661575317 1 20 val 0.0003
81 5.275758266448975 5.2659783363342285 0.00978013314306736 0.7803513407707214 0.8466072082519531 0.7863561511039734 0.7880270481109619 0.5382974743843079 0.6152381896972656 0.9111007452011108 1 21 train 0.0003
82 4.671845436096191 4.658313751220703 0.013531656004488468 0.5832485556602478 0.8408601880073547 0.6572809219360352 0.7659573554992676 0.48158520460128784 0.5999009609222412 0.729480504989624 1 21 train 0.0003
83 4.8068437576293945 4.795672416687012 0.011171383783221245 0.5952984690666199 0.8134436011314392 0.6626080274581909 0.7760202288627625 0.6068300008773804 0.6080910563468933 0.7333812117576599 1 21 train 0.0003
84 5.467609882354736 5.455023765563965 0.012586334720253944 0.6733235716819763 0.8704812526702881 0.6852609515190125 0.8905466198921204 0.597287654876709 0.664752721786499 1.0733706951141357 1 21 val 0.0003
85 5.914229393005371 5.909951210021973 0.004278401844203472 0.8138236999511719 0.8730159401893616 0.7528360486030579 0.8390139937400818 0.6076244115829468 0.8448446393013 1.1787927150726318 1 22 train 0.0003
86 5.455044269561768 5.447911262512207 0.007132990751415491 0.765425443649292 0.8600742816925049 0.7447447776794434 0.8845697641372681 0.5450909733772278 0.6356979608535767 1.0123082399368286 1 22 train 0.0003
87 5.052156925201416 5.042302131652832 0.009854975156486034 0.6006760001182556 0.8193545937538147 0.6748267412185669 0.9035571217536926 0.6303004622459412 0.6118918061256409 0.8016952276229858 1 22 train 0.0003
88 5.986659049987793 5.965095520019531 0.021563757210969925 0.8079516887664795 0.9769020676612854 0.7338128089904785 0.9276899695396423 0.7079527974128723 0.753773033618927 1.0570127964019775 1 22 val 0.0003
89 5.186704158782959 5.161892890930176 0.024811087176203728 0.7161574959754944 0.882400631904602 0.7379621267318726 0.7701559662818909 0.6331624984741211 0.6250510811805725 0.7970030307769775 1 23 train 0.0003
90 5.686328887939453 5.681013584136963 0.0053154597990214825 0.6551824808120728 0.8655812740325928 0.8099328875541687 0.7819563150405884 0.722916841506958 0.8193127512931824 1.0261311531066895 1 23 train 0.0003
91 4.935762882232666 4.914053440093994 0.021709494292736053 0.594940721988678 0.8526865839958191 0.7642195820808411 0.7871951460838318 0.5233777761459351 0.5669682621955872 0.8246650695800781 1 23 train 0.0003
92 5.436992645263672 5.419702053070068 0.017290646210312843 0.6850838661193848 0.8743847608566284 0.685266375541687 0.8894864320755005 0.6095526218414307 0.6487899422645569 1.0271377563476562 1 23 val 0.0003
93 5.384353160858154 5.377134323120117 0.007218931335955858 0.65349280834198 0.8384732007980347 0.6754763126373291 0.8252314925193787 0.7173300981521606 0.8306877613067627 0.8364429473876953 1 24 train 0.0003
94 4.69175910949707 4.673011302947998 0.018747787922620773 0.6001465916633606 0.7789292931556702 0.7062805891036987 0.7070310711860657 0.5197179317474365 0.5660447478294373 0.7948610782623291 1 24 train 0.0003
95 4.705752372741699 4.6861395835876465 0.019612789154052734 0.5814432501792908 0.8243045210838318 0.716931939125061 0.7935149669647217 0.4943957030773163 0.5746269822120667 0.700922429561615 1 24 train 0.0003
96 5.378279209136963 5.363713264465332 0.014566121622920036 0.6543418765068054 0.8543321490287781 0.6783965229988098 0.882418692111969 0.6206771731376648 0.6559580564498901 1.0175888538360596 1 24 val 0.0003
97 4.546655654907227 4.530390739440918 0.0162650253623724 0.5707072019577026 0.7798291444778442 0.7372024655342102 0.7411128878593445 0.46357297897338867 0.5786966681480408 0.6592694520950317 1 25 train 0.0003
98 4.761301517486572 4.748867988586426 0.012433736585080624 0.5779191255569458 0.8079832792282104 0.6652747392654419 0.7683653235435486 0.647368311882019 0.5779745578765869 0.7039822936058044 1 25 train 0.0003
99 5.153623580932617 5.143525123596191 0.010098500177264214 0.5810176134109497 0.9108304381370544 0.6599316000938416 0.860943078994751 0.5538336634635925 0.755632758140564 0.8213357925415039 1 25 train 0.0003
100 5.396766185760498 5.382134914398193 0.014631402678787708 0.6463980078697205 0.8644569516181946 0.6660237908363342 0.8848935961723328 0.6216537356376648 0.665347158908844 1.0333613157272339 1 25 val 0.0003