[f123c6]: / reports / vae / files / 20231020_130134_losses.csv

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# total reconstruction kl contrastive mse_proteomics mse_metabolomics mse_drugresponse mse_crisprcas9 mse_methylation mse_transcriptomics mse_copynumber cv epoch type lr
1 8.350285530090332 8.22667407989502 0.003211739705875516 0.12039913237094879 1.0221679210662842 1.071589469909668 1.0881996154785156 0.9896799921989441 1.0143718719482422 1.0089598894119263 2.031705617904663 1 1 train 0.0003
2 8.418399810791016 8.31444263458252 0.0034210318699479103 0.10053586959838867 1.0562982559204102 1.0045429468154907 1.0573647022247314 1.0806435346603394 1.086271047592163 1.0852715969085693 1.9440505504608154 1 1 train 0.0003
3 8.227036476135254 8.117715835571289 0.0028717992827296257 0.10644916445016861 1.0443501472473145 1.0511714220046997 1.0014660358428955 1.005185842514038 1.0232833623886108 1.02187180519104 1.9703876972198486 1 1 train 0.0003
4 7.857121467590332 7.738300323486328 0.013997310772538185 0.10482407361268997 1.000278353691101 1.017844557762146 0.9829286336898804 1.0652189254760742 0.9767677187919617 1.0020270347595215 1.693235158920288 1 1 val 0.0003
5 7.969395637512207 7.851413726806641 0.012214576825499535 0.10576719790697098 1.033267855644226 1.0437912940979004 1.0281574726104736 1.050628662109375 0.991710364818573 1.0298277139663696 1.6740305423736572 1 2 train 0.0003
6 7.708110332489014 7.585709095001221 0.016549335792660713 0.10585212707519531 0.9978095889091492 0.9554348587989807 1.056689977645874 1.038630723953247 0.9304678440093994 0.9758785367012024 1.6307979822158813 1 2 train 0.0003
7 7.485485553741455 7.3614420890808105 0.013821331784129143 0.11022220551967621 0.9525181651115417 1.0484026670455933 1.0430805683135986 0.9824576377868652 0.845753014087677 0.9328300952911377 1.5563997030258179 1 2 train 0.0003
8 7.247068405151367 7.109838485717773 0.013473067432641983 0.12375696748495102 0.921157717704773 0.9795486927032471 0.9451518058776855 1.0330272912979126 0.8019047379493713 0.8773731589317322 1.5516750812530518 1 2 val 0.0003
9 7.333033561706543 7.200974464416504 0.014061539433896542 0.11799751967191696 0.9454408884048462 1.0143324136734009 1.0208028554916382 1.0351982116699219 0.7941629886627197 0.8949096202850342 1.4961273670196533 1 3 train 0.0003
10 7.070967197418213 6.931634426116943 0.012881563976407051 0.12645108997821808 0.9230139851570129 0.9681442379951477 0.9813557863235474 0.9966177940368652 0.780368447303772 0.8735131621360779 1.4086207151412964 1 3 train 0.0003
11 6.993459224700928 6.848177433013916 0.018156543374061584 0.12712503969669342 0.8944361805915833 0.9759300947189331 1.0130877494812012 1.0017403364181519 0.7464033961296082 0.8615167140960693 1.3550629615783691 1 3 train 0.0003
12 6.796234130859375 6.656428337097168 0.018668459728360176 0.12113719433546066 0.8657408356666565 0.9720590114593506 0.9221054911613464 1.0287954807281494 0.6919606328010559 0.8278189897537231 1.3479478359222412 1 3 val 0.0003
13 7.287909030914307 7.160066604614258 0.006509518250823021 0.1213330551981926 0.8932849764823914 1.0046685934066772 0.9453816413879395 1.0202580690383911 0.6613358855247498 0.9184516668319702 1.7166856527328491 1 4 train 0.0003
14 7.218289852142334 7.093270301818848 0.013854213058948517 0.11116556823253632 0.9908475279808044 0.9222378134727478 1.0268281698226929 0.9994071125984192 0.9393725395202637 0.853253960609436 1.361323595046997 1 4 train 0.0003
15 7.0647687911987305 6.917535781860352 0.030477816238999367 0.11675506085157394 0.963672399520874 0.9826678037643433 0.9579954147338867 0.9724287390708923 0.8658883571624756 0.9427066445350647 1.2321763038635254 1 4 train 0.0003
16 6.59600305557251 6.4686503410339355 0.020584993064403534 0.10676765441894531 0.8249051570892334 0.9712234735488892 0.8988015651702881 1.0199739933013916 0.6896625757217407 0.8246374726295471 1.2394460439682007 1 4 val 0.0003
17 7.010160446166992 6.900735855102539 0.009321882389485836 0.1001027300953865 0.8194040656089783 0.998151957988739 0.9897178411483765 0.9993688464164734 0.6908124685287476 0.9227011799812317 1.4805794954299927 1 5 train 0.0003
18 6.644996166229248 6.516117095947266 0.018657542765140533 0.1102214977145195 0.8854892253875732 0.9769507050514221 0.9255437254905701 0.9367514252662659 0.7745436429977417 0.8814725279808044 1.1353659629821777 1 5 train 0.0003
19 7.837866306304932 7.729372978210449 0.0021027224138379097 0.10639051347970963 0.992806077003479 1.0084470510482788 1.0328446626663208 0.997282087802887 1.0087300539016724 1.0181862115859985 1.671077013015747 1 5 train 0.0003
20 6.647183418273926 6.52680778503418 0.013927577994763851 0.1064482107758522 0.8297878503799438 0.9835703372955322 0.896112859249115 1.0153676271438599 0.7117147445678711 0.8577231764793396 1.232530951499939 1 5 val 0.0003
21 6.8558526039123535 6.748683929443359 0.008222728967666626 0.09894593060016632 0.8620879650115967 0.9725709557533264 0.9686306118965149 0.99544358253479 0.9079626202583313 0.8515769839286804 1.1904118061065674 1 6 train 0.0003
22 6.634729862213135 6.521945953369141 0.00861660111695528 0.10416723787784576 0.8177125453948975 0.9309596419334412 0.9160338640213013 0.9608914852142334 0.8793206214904785 0.8780636191368103 1.1389639377593994 1 6 train 0.0003
23 6.517653942108154 6.387576103210449 0.015014385804533958 0.11506374925374985 0.7911832928657532 1.0060269832611084 0.912264883518219 0.9713789224624634 0.7688266038894653 0.8307597637176514 1.1071358919143677 1 6 train 0.0003
24 6.40917444229126 6.280881404876709 0.022895637899637222 0.1053973138332367 0.7865082025527954 0.9551559090614319 0.8296668529510498 1.0038810968399048 0.6817638278007507 0.811669647693634 1.2122360467910767 1 6 val 0.0003
25 6.158036231994629 6.026943206787109 0.022149231284856796 0.10894414782524109 0.7719817161560059 0.9201946258544922 0.8783425092697144 0.8802305459976196 0.6604216694831848 0.7799388766288757 1.135833501815796 1 7 train 0.0003
26 6.317849636077881 6.182797908782959 0.021722272038459778 0.11332918703556061 0.7965497970581055 0.9327042102813721 0.9213387370109558 0.9746796488761902 0.6825401782989502 0.7621089220046997 1.112876534461975 1 7 train 0.0003
27 7.570189476013184 7.454433441162109 0.0022153197787702084 0.11354043334722519 0.9796899557113647 1.0059128999710083 0.9404959678649902 1.00556480884552 0.9650217294692993 1.000037431716919 1.5577105283737183 1 7 train 0.0003
28 6.406499862670898 6.264103889465332 0.01603676751255989 0.1263587772846222 0.7738725543022156 0.9415097236633301 0.8081690669059753 0.9898441433906555 0.7461076974868774 0.7768052220344543 1.227794885635376 1 7 val 0.0003
29 6.483011245727539 6.361820220947266 0.008261528797447681 0.11292915046215057 0.902410089969635 0.955707311630249 0.8895028233528137 0.8977437019348145 0.7887697219848633 0.7646400928497314 1.1630465984344482 1 8 train 0.0003
30 6.1715850830078125 6.02046012878418 0.016244029626250267 0.13488109409809113 0.7669558525085449 0.959452748298645 0.8429614305496216 0.930879533290863 0.7314761877059937 0.7681310176849365 1.0206032991409302 1 8 train 0.0003
31 6.2694549560546875 6.129045486450195 0.011370384134352207 0.12903936207294464 0.7514384388923645 0.8677858710289001 0.9017045497894287 0.9643906950950623 0.869951605796814 0.7410681843757629 1.0327056646347046 1 8 train 0.0003
32 6.18186616897583 6.032200813293457 0.018709152936935425 0.13095617294311523 0.753302276134491 0.9305571913719177 0.7863026857376099 0.9852498769760132 0.6908612251281738 0.7540870904922485 1.1318405866622925 1 8 val 0.0003
33 6.1394805908203125 5.979256629943848 0.014121197164058685 0.14610281586647034 0.8798657059669495 0.9638181328773499 0.8083083629608154 0.8752275109291077 0.6608145236968994 0.7203680276870728 1.0708547830581665 1 9 train 0.0003
34 6.02101993560791 5.87161922454834 0.01863517425954342 0.13076551258563995 0.7424353361129761 0.9277573823928833 0.8709926009178162 0.9349054098129272 0.6318572163581848 0.7288364768028259 1.034834384918213 1 9 train 0.0003
35 5.778502941131592 5.627593517303467 0.020793505012989044 0.13011588156223297 0.7292134761810303 0.8730285167694092 0.8377138376235962 0.9037849307060242 0.6019629836082458 0.6878419518470764 0.9940478205680847 1 9 train 0.0003
36 6.033214092254639 5.896064758300781 0.0219532810151577 0.11519619077444077 0.7324876189231873 0.9243476390838623 0.7607765793800354 0.9709856510162354 0.6495260000228882 0.7255362868309021 1.1324049234390259 1 9 val 0.0003
37 6.405138969421387 6.287644386291504 0.007194215431809425 0.11030030995607376 0.7404969334602356 0.9269987940788269 0.80305016040802 0.9411296844482422 0.8838002681732178 0.9006245136260986 1.0915443897247314 1 10 train 0.0003
38 5.942688465118408 5.8018999099731445 0.024711156263947487 0.11607737094163895 0.7097887396812439 0.9418405890464783 0.7716997861862183 0.9300481081008911 0.5940017700195312 0.725610077381134 1.1289103031158447 1 10 train 0.0003
39 5.647440433502197 5.502458572387695 0.018119510263204575 0.12686242163181305 0.6815313696861267 0.9424418807029724 0.7595013380050659 0.8763418793678284 0.5896875262260437 0.6958155035972595 0.9571390151977539 1 10 train 0.0003
40 5.904962062835693 5.7671098709106445 0.01664522849023342 0.12120693922042847 0.722773551940918 0.9257909655570984 0.7337684631347656 0.9537293314933777 0.628701388835907 0.7244566679000854 1.077889323234558 1 10 val 0.0003
41 6.466989517211914 6.337353229522705 0.005606984719634056 0.12402896583080292 0.9067631959915161 1.014497995376587 0.8147599697113037 0.8965063095092773 0.6594477891921997 0.8926233649253845 1.1527546644210815 1 11 train 0.0003
42 5.870833396911621 5.7299957275390625 0.009954297915101051 0.13088299334049225 0.7142798900604248 0.8843429684638977 0.8163791298866272 0.8489232659339905 0.710505485534668 0.7313073873519897 1.0242574214935303 1 11 train 0.0003
43 6.16136360168457 6.029241561889648 0.0077061522752046585 0.12441598623991013 0.7263667583465576 0.9365872740745544 0.7621173858642578 0.8753204345703125 0.8372947573661804 0.8772682547569275 1.0142865180969238 1 11 train 0.0003
44 6.032584190368652 5.879398345947266 0.02449972555041313 0.12868593633174896 0.7412272095680237 0.9181911945343018 0.7651760578155518 0.9544040560722351 0.6528673768043518 0.7586185932159424 1.0889137983322144 1 11 val 0.0003
45 5.7136335372924805 5.558628559112549 0.024833394214510918 0.1301719695329666 0.7181301712989807 0.8887737989425659 0.7782588601112366 0.8458895683288574 0.6433396339416504 0.7236350178718567 0.9606013298034668 1 12 train 0.0003
46 5.615055084228516 5.449896812438965 0.018554292619228363 0.14660429954528809 0.6783039569854736 0.8883779048919678 0.7781274914741516 0.8934555649757385 0.5717085003852844 0.6702942848205566 0.9696292877197266 1 12 train 0.0003
47 5.596690654754639 5.434440612792969 0.02088465355336666 0.14136530458927155 0.6861112713813782 0.944684624671936 0.7455494403839111 0.8904533982276917 0.5448211431503296 0.7020478844642639 0.9207731485366821 1 12 train 0.0003
48 5.775047302246094 5.6352691650390625 0.020717022940516472 0.11906089633703232 0.706595778465271 0.9145426154136658 0.7004043459892273 0.9297380447387695 0.6125163435935974 0.7056111097335815 1.0658605098724365 1 12 val 0.0003
49 5.890510082244873 5.739655494689941 0.012295558117330074 0.13855887949466705 0.8820928931236267 0.8657859563827515 0.8594350218772888 0.8498454093933105 0.5918702483177185 0.6907215714454651 0.9999046325683594 1 13 train 0.0003
50 5.657776832580566 5.517340660095215 0.015604052692651749 0.12483213096857071 0.684808075428009 0.8911599516868591 0.7231684923171997 0.8944334387779236 0.7360609173774719 0.6708970665931702 0.9168125987052917 1 13 train 0.0003
51 6.120084762573242 5.995329856872559 0.010588165372610092 0.1141667440533638 0.7170876264572144 0.9661701321601868 0.7183422446250916 0.8824842572212219 0.8420522212982178 0.8685334920883179 1.0006592273712158 1 13 train 0.0003
52 5.933757781982422 5.793385982513428 0.028090953826904297 0.11228108406066895 0.7004857063293457 0.9018984436988831 0.703058660030365 0.9273860454559326 0.6306902766227722 0.7023385763168335 1.2275279760360718 1 13 val 0.0003
53 6.4283246994018555 6.303571701049805 0.007266233675181866 0.11748679727315903 0.9121325612068176 0.9030374884605408 0.9461498856544495 0.9224070310592651 0.8196676969528198 0.7016341090202332 1.098543405532837 1 14 train 0.0003
54 5.613442420959473 5.459544658660889 0.030210454016923904 0.12368716299533844 0.6756938099861145 0.899320125579834 0.7118499279022217 0.867333173751831 0.5888205766677856 0.6635910868644714 1.05293607711792 1 14 train 0.0003
55 5.820835590362549 5.687041282653809 0.015534359030425549 0.11825969070196152 0.6552186012268066 0.9823524951934814 0.7135540843009949 0.9048702716827393 0.6208820939064026 0.8268024921417236 0.9833612442016602 1 14 train 0.0003
56 5.915670394897461 5.765448093414307 0.02938494272530079 0.12083719670772552 0.7059741616249084 0.9050974249839783 0.7372956275939941 0.9285545945167542 0.6211350560188293 0.7149767875671387 1.1524149179458618 1 14 val 0.0003
57 6.545164585113525 6.404658317565918 0.004660054109990597 0.13584628701210022 0.7141028642654419 0.9153333306312561 0.7368860244750977 0.9139063358306885 0.8760048747062683 0.8965210318565369 1.3519036769866943 1 15 train 0.0003
58 5.691980838775635 5.543693542480469 0.025469603016972542 0.1228175163269043 0.7585805058479309 0.9125210046768188 0.741166889667511 0.8786136507987976 0.5581440925598145 0.6517044901847839 1.0429631471633911 1 15 train 0.0003
59 5.518184661865234 5.368061065673828 0.0188723336905241 0.13125114142894745 0.7789567708969116 0.854472815990448 0.7763960957527161 0.8505510091781616 0.5662274360656738 0.6489249467849731 0.8925321698188782 1 15 train 0.0003
60 5.859038829803467 5.694590091705322 0.02525852993130684 0.13919001817703247 0.7417886257171631 0.9113233685493469 0.7326803207397461 0.9259340763092041 0.6229559183120728 0.6985524892807007 1.0613549947738647 1 15 val 0.0003
61 5.6126580238342285 5.458532333374023 0.0171996857970953 0.13692598044872284 0.6599892973899841 0.8850510120391846 0.7509229779243469 0.9470858573913574 0.7111649513244629 0.6419723629951477 0.862345814704895 1 16 train 0.0003
62 5.301935195922852 5.133012294769287 0.023024505004286766 0.1458982229232788 0.6844761371612549 0.841530978679657 0.7094711065292358 0.8510971665382385 0.5286189913749695 0.6692693829536438 0.8485482931137085 1 16 train 0.0003
63 6.160321235656738 6.003977298736572 0.009502628818154335 0.14684145152568817 0.6617516875267029 0.9249950647354126 0.8403111696243286 0.8412428498268127 0.5918732285499573 0.8348895311355591 1.308914065361023 1 16 train 0.0003
64 5.7325873374938965 5.57321310043335 0.0204799622297287 0.13889406621456146 0.6973590850830078 0.8828474879264832 0.6800265908241272 0.9190173149108887 0.5874761939048767 0.6941784024238586 1.1123080253601074 1 16 val 0.0003
65 5.193252086639404 5.0290656089782715 0.021280093118548393 0.14290621876716614 0.6459640860557556 0.8880799412727356 0.7078207731246948 0.773865282535553 0.49514877796173096 0.652446448802948 0.865740954875946 1 17 train 0.0003
66 5.343698024749756 5.17647123336792 0.020465053617954254 0.14676181972026825 0.6560818552970886 0.8179290294647217 0.6982178688049316 0.8355926871299744 0.5410849452018738 0.6397928595542908 0.9877718687057495 1 17 train 0.0003
67 5.148118019104004 4.987375259399414 0.022038722410798073 0.13870367407798767 0.6269376873970032 0.8375887870788574 0.6813478469848633 0.872602641582489 0.5064398050308228 0.633478581905365 0.8289800882339478 1 17 train 0.0003
68 5.612076759338379 5.46292781829834 0.020417319610714912 0.12873195111751556 0.6775873303413391 0.8769329786300659 0.6810421943664551 0.910597562789917 0.5887193083763123 0.6814029216766357 1.0466450452804565 1 17 val 0.0003
69 5.50303840637207 5.354970932006836 0.014228938147425652 0.13383857905864716 0.6496196985244751 0.8462862968444824 0.8251806497573853 0.8294683694839478 0.691081166267395 0.6488797068595886 0.8644552230834961 1 18 train 0.0003
70 5.957965850830078 5.817579746246338 0.010900829918682575 0.1294851452112198 0.8529725670814514 0.8692528009414673 0.890398383140564 0.8353265523910522 0.7610199451446533 0.6676825284957886 0.9409269094467163 1 18 train 0.0003
71 5.694243907928467 5.544785499572754 0.013340300880372524 0.13611775636672974 0.6633352041244507 0.8247038125991821 0.7078894972801208 0.8583267331123352 0.554041862487793 0.8433092832565308 1.0931791067123413 1 18 train 0.0003
72 5.887493133544922 5.730015754699707 0.031086184084415436 0.12639129161834717 0.7162800431251526 0.9080057740211487 0.7055383920669556 0.9135377407073975 0.6181327104568481 0.7675967216491699 1.1009247303009033 1 18 val 0.0003
73 5.39301872253418 5.232558250427246 0.02222401648759842 0.13823670148849487 0.6369788646697998 0.8475227952003479 0.7599839568138123 0.8505007028579712 0.6241766214370728 0.648160457611084 0.8652349710464478 1 19 train 0.0003
74 5.298555374145508 5.140438556671143 0.02582884393632412 0.13228796422481537 0.7558866143226624 0.8669755458831787 0.6891442537307739 0.7960273623466492 0.5448926091194153 0.6457908153533936 0.8417211771011353 1 19 train 0.0003
75 5.270455360412598 5.115236759185791 0.028577739372849464 0.12664088606834412 0.6229101419448853 0.8479033708572388 0.6946996450424194 0.8885887861251831 0.5226141214370728 0.6340572237968445 0.9044638872146606 1 19 train 0.0003
76 5.647666931152344 5.493026256561279 0.030839581042528152 0.1238010972738266 0.6800861954689026 0.8740858435630798 0.7138563394546509 0.9004823565483093 0.5932900309562683 0.6713202595710754 1.0599051713943481 1 19 val 0.0003
77 5.718993663787842 5.584149360656738 0.009701155126094818 0.12514318525791168 0.6641186475753784 0.8600704073905945 0.785203754901886 0.8398173451423645 0.7048953175544739 0.8090963363647461 0.9209480285644531 1 20 train 0.0003
78 5.088212490081787 4.924393653869629 0.03356042504310608 0.13025842607021332 0.6101661920547485 0.8324324488639832 0.6783531904220581 0.7994675040245056 0.5381855368614197 0.6278406381607056 0.8379483222961426 1 20 train 0.0003
79 4.94395637512207 4.778436660766602 0.03096826747059822 0.13455148041248322 0.6012548804283142 0.8166838884353638 0.6901430487632751 0.7967789173126221 0.4931383728981018 0.6033495664596558 0.7770882248878479 1 20 train 0.0003
80 5.55828332901001 5.404551982879639 0.022284645587205887 0.13144679367542267 0.6732659935951233 0.8625503182411194 0.6885087490081787 0.8920181393623352 0.5994244813919067 0.6680110692977905 1.020772933959961 1 20 val 0.0003
81 5.476855278015137 5.318338871002197 0.01721082627773285 0.14130520820617676 0.7977697849273682 0.8627330660820007 0.7481995224952698 0.8073106408119202 0.5696490406990051 0.6138492226600647 0.9188273549079895 1 21 train 0.0003
82 4.95735502243042 4.797551155090332 0.02315003052353859 0.13665392994880676 0.6036222577095032 0.8399853706359863 0.6698226928710938 0.8160099387168884 0.5134499073028564 0.6165968179702759 0.7380640506744385 1 21 train 0.0003
83 4.966065883636475 4.8094096183776855 0.020486073568463326 0.13617031276226044 0.5975558161735535 0.8115386366844177 0.6658493876457214 0.7600086331367493 0.5922070741653442 0.6205146908760071 0.7617355585098267 1 21 train 0.0003
84 5.585333824157715 5.425251007080078 0.02148120291531086 0.13860160112380981 0.6746313571929932 0.8593081831932068 0.6808791160583496 0.8934561014175415 0.6091787815093994 0.6607354879379272 1.0470619201660156 1 21 val 0.0003
85 6.195911884307861 6.044854640960693 0.007079352159053087 0.14397791028022766 0.8566517233848572 0.8879202604293823 0.7744137048721313 0.8248944878578186 0.6381691098213196 0.8763520121574402 1.1864532232284546 1 22 train 0.0003
86 5.674709320068359 5.517197608947754 0.012496267445385456 0.14501510560512543 0.7833066582679749 0.8569382429122925 0.7009488344192505 0.9587172269821167 0.5562348365783691 0.6436197757720947 1.0174323320388794 1 22 train 0.0003
87 5.22773551940918 5.07149076461792 0.016595253720879555 0.13964931666851044 0.6124216914176941 0.8312860727310181 0.6723518371582031 0.9206872582435608 0.6089049577713013 0.6169924139976501 0.8088464736938477 1 22 train 0.0003
88 6.177785873413086 5.997135162353516 0.03790367394685745 0.14274685084819794 0.7986466884613037 0.9726844429969788 0.7364315390586853 0.9213593602180481 0.77695232629776 0.7618809938430786 1.0291799306869507 1 22 val 0.0003
89 5.435989856719971 5.248312950134277 0.039101019501686096 0.14857597649097443 0.7019343376159668 0.8912736773490906 0.7489692568778992 0.7638120651245117 0.7277502417564392 0.6345364451408386 0.7800369262695312 1 23 train 0.0003
90 5.842831611633301 5.692059516906738 0.009608539752662182 0.14116334915161133 0.646280825138092 0.8440907597541809 0.7652071118354797 0.8351823687553406 0.750254213809967 0.8270941972732544 1.023950219154358 1 23 train 0.0003
91 5.1793622970581055 5.0030059814453125 0.036305930465459824 0.14005057513713837 0.6169479489326477 0.8270460367202759 0.7449970841407776 0.7994474172592163 0.5935038924217224 0.6171841025352478 0.8038790822029114 1 23 train 0.0003
92 5.6464433670043945 5.483824729919434 0.03216738998889923 0.1304510235786438 0.6961317658424377 0.8512255549430847 0.691535234451294 0.8941624760627747 0.6549118757247925 0.6643756628036499 1.0314823389053345 1 23 val 0.0003
93 5.6170268058776855 5.480154037475586 0.011875172145664692 0.12499763071537018 0.6463382244110107 0.8373192548751831 0.6703076362609863 0.8348382115364075 0.7514786720275879 0.835055410861969 0.904816746711731 1 24 train 0.0003
94 5.037594795227051 4.873401165008545 0.03248322755098343 0.1317107379436493 0.6299054622650146 0.775935173034668 0.7343211770057678 0.7796849012374878 0.5812156796455383 0.5708061456680298 0.8015325665473938 1 24 train 0.0003
95 4.940330982208252 4.770048141479492 0.03395843878388405 0.13632427155971527 0.6022566556930542 0.8018566370010376 0.7083802223205566 0.7688865065574646 0.5450460314750671 0.596600353717804 0.7470218539237976 1 24 train 0.0003
96 5.519132614135742 5.364285469055176 0.02648242749273777 0.1283644586801529 0.6647207140922546 0.8373845219612122 0.6726547479629517 0.8848060369491577 0.6355790495872498 0.6568277478218079 1.012312412261963 1 24 val 0.0003
97 4.871311187744141 4.706457614898682 0.028896141797304153 0.13595716655254364 0.5761564373970032 0.8166263103485107 0.6839184761047363 0.7912253737449646 0.5271720290184021 0.5984218716621399 0.71293705701828 1 25 train 0.0003
98 5.012170791625977 4.859962463378906 0.02092759683728218 0.1312810629606247 0.5875727534294128 0.7953062653541565 0.6551660299301147 0.8061965107917786 0.6708006858825684 0.595594048500061 0.7493260502815247 1 25 train 0.0003
99 5.366697311401367 5.216872692108154 0.015961917117238045 0.1338627189397812 0.598728597164154 0.8932960629463196 0.6649249196052551 0.807520866394043 0.5819839239120483 0.8204351663589478 0.8499833345413208 1 25 train 0.0003
100 5.5642619132995605 5.402931213378906 0.0262432973831892 0.13508743047714233 0.6537473797798157 0.8463642001152039 0.6686196327209473 0.8874658346176147 0.6355226635932922 0.6803792715072632 1.030832290649414 1 25 val 0.0003